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Journal articles on the topic 'Anchor Box'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Hao Yan, Hao Yan, Xiao-Yong Yan Hao Yan, and Xiao-Hui Mo Xiao-Yong Yan. "Outlier-resistant Multi-hop Localization Based on Weighted Bounding-Box with the Virtual Anchor." 電腦學刊 32, no. 5 (2021): 184–91. http://dx.doi.org/10.53106/199115992021103205015.

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Multi-hop localization has attracted considerable research interests, recently. Most of the existing methods assume that the distribution of anchors is non-collinear, which often does not represent real-world scenes, particularly for irregular networks. In this paper, we present a novel multihop localization scheme to address the ill-posed issue caused by the inappropriate distribution of anchors. First, we recognize whether the preliminary estimated location of nonanchor obtained from existing methods deviates from its true location. So it becomes a new anchor (also called the virtual anchor)

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Liouane, Hend, Sana Messous, Omar Cheikhrouhou, Anis Koubaa, and Monia Hamdi. "Mobile Anchor and Kalman Filter Boosted Bounding Box for Localization in Wireless Sensor Networks." Electronics 11, no. 20 (2022): 3296. http://dx.doi.org/10.3390/electronics11203296.

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Event detection is usually the primary purpose of wireless sensor networks (WSNs). Therefore, it is crucial to determine where and when an event occurs in order to map the event to its spatio-temporal domain. In WSN localization, a few anchor nodes are those aware of their locations via the Global Positioning System (GPS), which is energy-consuming. Non-anchor nodes self-localize by gathering information from anchor nodes to estimate their positions using a localization technique. Traditional algorithms use at least three static anchors for the localization process. Recently, researchers opted

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3

Liu, Xing, Huai-Xin Chen, and Bi-Yuan Liu. "Dynamic Anchor: A Feature-Guided Anchor Strategy for Object Detection." Applied Sciences 12, no. 10 (2022): 4897. http://dx.doi.org/10.3390/app12104897.

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The majority of modern object detectors rely on a set of pre-defined anchor boxes, which enhances detection performance dramatically. Nevertheless, the pre-defined anchor strategy suffers some drawbacks, especially the complex hyper-parameters of anchors, seriously affecting detection performance. In this paper, we propose a feature-guided anchor generation method named dynamic anchor. Dynamic anchor mainly includes two structures: the anchor generator and the feature enhancement module. The anchor generator leverages semantic features to predict optimized anchor shapes at the locations where

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4

Zhou, Zihan, Qinghan Lai, Shuai Ding, and Song Liu. "Novel Joint Object Detection Algorithm Using Cascading Parallel Detectors." Symmetry 13, no. 1 (2021): 137. http://dx.doi.org/10.3390/sym13010137.

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Object detection is an essential computer vision task that aims to detect target objects from an image. The traditional models are insufficient to generate a high-quality anchor box. To solve the problem, we propose a novel joint model called guided anchoring Region proposal networks and Cascading Grid Region Convolutional Neural Networks (RCGrid R-CNN), enhancing the ability of object detection. Our proposed model design is a joint object detection algorithm containing an anchor-based and an anchor-free branch in parallel and symmetry. In the anchor-based, we use nine-point spatial informatio

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Sabzevari, Soheil, Ryan Murray, Shaquille Charles, Rajiv P. Reddy, and Albert Lin. "Arthroscopic Double-Row Rotator Cuff Repair With Box Configuration." Video Journal of Sports Medicine 3, no. 1 (2023): 263502542211396. http://dx.doi.org/10.1177/26350254221139657.

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Background: Arthroscopic transosseous-equivalent (TOE) techniques may offer additional advantages, including a more efficient surgery with a self-reinforcing construct with equivalent clinical results to medial knotted TOE repair for rotator cuff tears (RCTs). Indications: An arthroscopic knotless double-row (DR) rotator cuff repair (RCR) using FiberTak RC anchors for medial row fixation with box configuration may be an appropriate construct for operatively indicated small-to-moderate full-thickness RCTs. Technique: Our modified technique uses TOE repair principles to address RCTs too small fo

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Raju, K. V. S. B., and B. S. Pankaja. "Horizontal Pullout Capacity of a Group of Two Vertical Square Anchors Embedded in Medium Dense Sand." Applied Mechanics and Materials 877 (February 2018): 214–23. http://dx.doi.org/10.4028/www.scientific.net/amm.877.214.

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In the present study an attempt is made to evaluate the ultimate horizontal pullout capacity of group of two square anchors embedded in medium dense sand by conducting laboratory model tests. The size of the model box used in the present study is 1.2m lengthx0.75m width and 1.5m height. A series of experiments were conducted on single and group of anchors subjected to horizontal pullout load on mild steel square plates of size 10 cm and 15 cm were used .Clean dry local river sand was used in the present study. All the tests were carried out on dry clean sand with a relative density of 55% corr

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Gao, Zhentong, Qiantong Wang, Zongxu Pan, Zhenyu Zhai, and Hui Long. "PointPainting: 3D Object Detection Aided by Semantic Image Information." Sensors 23, no. 5 (2023): 2868. http://dx.doi.org/10.3390/s23052868.

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A multi-modal 3D object-detection method, based on data from cameras and LiDAR, has become a subject of research interest. PointPainting proposes a method for improving point-cloud-based 3D object detectors using semantic information from RGB images. However, this method still needs to improve on the following two complications: first, there are faulty parts in the image semantic segmentation results, leading to false detections. Second, the commonly used anchor assigner only considers the intersection over union (IoU) between the anchors and ground truth boxes, meaning that some anchors conta

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8

Xiao, Zhifeng, Kai Wang, Qiao Wan, Xiaowei Tan, Chuan Xu, and Fanfan Xia. "A2S-Det: Efficiency Anchor Matching in Aerial Image Oriented Object Detection." Remote Sensing 13, no. 1 (2020): 73. http://dx.doi.org/10.3390/rs13010073.

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Object detection is a challenging task in aerial images, where many objects have large aspect ratios and are densely arranged. Most anchor-based rotating detectors assign anchors for ground-truth objects by a fixed restriction of the rotation Intersection-over-Unit (IoU) between anchors and objects, which directly follow horizontal detectors. Due to many directional objects with a large aspect ratio, the object-anchor IoU is heavily influenced by the angle, which may cause few anchors assigned for some ground-truth objects. In this study, we propose an anchor selection method based on sample b

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9

Zhu, Liming, Tailei Chen, Lingkun Chen, Zhichao Lu, Xiaolun Hu, and Xiaoming Huang. "Experimental Testing and Residual Performance Evaluation of Existing Hangers with Steel Pipe Protection Taken from an In-Service Tied-Arch Bridge." Applied Sciences 13, no. 19 (2023): 11070. http://dx.doi.org/10.3390/app131911070.

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Background: Tied-arch bridges’ hangers are crucial load-bearing parts, and their excellent condition directly influences bridge safety. However, assessing in-service hangers’ continuing functional performance is irrelevant and incomplete, particularly for unique hangers covered by outer steel tubes. Objective: This research uses a case study of an under-bearing tied-arch bridge with substantial hanger damage to determine the origin of the damage and analyze the hanger’s remaining operational ability. Methodology/approach: This study presents a set of assessment methodologies and procedures for

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Li, Shi An, Zhi Hui Zhang, Wei Li, and Cong Yu Huang. "Spatial Mechanical Behavior Research of Cable Anchorage Zone of Special-Shaped Steel Box Concrete Tower." Applied Mechanics and Materials 368-370 (August 2013): 1762–68. http://dx.doi.org/10.4028/www.scientific.net/amm.368-370.1762.

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In order to grasp the force performance and stress distribution of shaped pylon steel anchor box under the action of the cable tension, with a main span of 555m length of three towers cable-stayed and self-anchored suspension combined system bridge as the engineering background, through the APDL command stream parametric programming, the different finite element models of pylon steel anchor box is established by the spatial solid element and shell element, the mechanical properties of cable-pylon anchorage zone were studied under the most unfavorable load combination, considering the stress st

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Xiao, Xiaowu, Zhiqiang Zhou, Bo Wang, Linhao Li, and Lingjuan Miao. "Ship Detection under Complex Backgrounds Based on Accurate Rotated Anchor Boxes from Paired Semantic Segmentation." Remote Sensing 11, no. 21 (2019): 2506. http://dx.doi.org/10.3390/rs11212506.

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It is still challenging to effectively detect ship objects in optical remote-sensing images with complex backgrounds. Many current CNN-based one-stage and two-stage detection methods usually first predefine a series of anchors with various scales, aspect ratios and angles, and then the detection results can be outputted by performing once or twice classification and bounding box regression for predefined anchors. However, most of the defined anchors have relatively low accuracy, and are useless for the following classification and regression. In addition, the preset anchors are not robust to p

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12

Dang, Dong, and Shuan Hai He. "Spatial Mechanical Behavior Research of Cable-Pylon Anchorage Zone of Steel Box Concrete Tower." Applied Mechanics and Materials 256-259 (December 2012): 1466–73. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.1466.

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In order to grasp the force performance and stress distribution of shaped pylon steel anchor box under the action of the cable tension, with a main span of 555m length of three towers cable-stayed and self-anchored suspension combined system bridge as the engineering background, through the ANSYS APDL command stream parametric programming, the different finite element models of pylon steel anchor box is established by the spatial solid element and shell element, the mechanical properties of cable-pylon anchorage zone were studied under the most unfavorable load combination, considering the str

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13

Lin, Jinbiao, and Muyun Huang. "Mechanical Performance Analysis of Cable-Girder Anchorage Zone Structure Based on Hybrid Element Method." Journal of Physics: Conference Series 2381, no. 1 (2022): 012023. http://dx.doi.org/10.1088/1742-6596/2381/1/012023.

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Abstract The finite element model of a partially cable-stayed bridge with a central single cable plane corrugated steel web composite box girder is established by the hybrid element method combined with the solid finite element model and spatial grid model, and the mechanical properties of cable-girder anchorage zone structure under cable forces are calculated and analyzed in this paper. The refined model of the steel anchor box structure was established, and the stress distribution of each component of the steel anchor box under cable force was calculated and analyzed. By calculating the resu

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14

Lu, Wenru, Min Zhao, and Lingling Jia. "Mechanical Behavior of a Multisegmented Tower Anchorage Structure with an Exposed Steel Anchor Box." Advances in Materials Science and Engineering 2021 (December 22, 2021): 1–12. http://dx.doi.org/10.1155/2021/5599845.

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A tower anchorage structure with an exposed steel anchor box is commonly used for cable-stayed bridges. Many researchers have conducted studies on this structure by considering a single segment. However, in practical engineering, the stress of multisegmented tower anchorage structure is not completely similar to that of single segment, and the forces between segments affect each other. Hence, in this study, the mechanical behavior of a multisegment anchorage structure with an exposed steel anchor box was investigated via finite element analysis. Furthermore, the load transfer path and stress d

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15

Naser, Ali Fadhil, and Zong Lin Wang. "Monitoring of External Prestressing Tendons Construction Process of Jiamusi Highway Prestressed Concrete Bridge during Strengthening in China." Advanced Materials Research 163-167 (December 2010): 2873–79. http://dx.doi.org/10.4028/www.scientific.net/amr.163-167.2873.

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Jiamusi highway prestressed concrete bridge is located in the Jiamusi City within Heilongjiang province in the east north of China. The strengthening and repairing of the bridge structure can be provided an effective and economic solution in appropriate situation. The objective of this study are to monitor the construction process of external prestressing tendons for strengthening of Jiamusi highway prestressed concrete bridge. Monitoring process includes measurement of external prestressing tendons natural frequency, monitoring of tensile forces values of external prestressing tendons, monito

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16

Li, Jianxiang, Yan Tian, Yiping Xu, and Zili Zhang. "Oriented Object Detection in Remote Sensing Images with Anchor-Free Oriented Region Proposal Network." Remote Sensing 14, no. 5 (2022): 1246. http://dx.doi.org/10.3390/rs14051246.

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Oriented object detection is a fundamental and challenging task in remote sensing image analysis that has recently drawn much attention. Currently, mainstream oriented object detectors are based on densely placed predefined anchors. However, the high number of anchors aggravates the positive and negative sample imbalance problem, which may lead to duplicate detections or missed detections. To address the problem, this paper proposes a novel anchor-free two-stage oriented object detector. We propose the Anchor-Free Oriented Region Proposal Network (AFO-RPN) to generate high-quality oriented pro

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17

Romanuke, Vadim. "Anchor Box Parameters and Bounding Box Overlap Ratios for the Faster R-CNN Detector in Detecting a Single Object by the Masking Background." Information Technology and Management Science 21 (December 14, 2018): 15–23. http://dx.doi.org/10.7250/itms-2018-0002.

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Anchor box parameters and bounding box overlap ratios are studied in order to set them appropriately for the Faster R-CNN detector. The benchmark detection is based on monochrome images whose background may mask a small dark object. Three object detection tasks are generated, where every image either contains a small black square/rectangle or does not contain the object, representing thus class “background”. The ratios are recommended to be tried at 0.7 if this class is represented. The ratio for positive training samples is tried at a less value but greater than 0.4 for the task every image o

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18

Qian, Kai Guo, Yu Jian Wang, Xiao Ming Li, and Zu Cheng Dai. "An Improved Bounding Box Localization Algorithm Based on Optimum Node Selection." Applied Mechanics and Materials 668-669 (October 2014): 1359–62. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.1359.

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This paper mainly discusses the problem of localization algorithm for wireless sensor network. For improving the disadvantages of high positioning error and Low coverage, an improved algorithm is proposed based on the optimum node selection determined by the received RSSI strength and virtual anchor nodes. It uses anchor node to locate which selected within 0.5 communication scope of the node by RSSI signal strength. Nodes Completed positioning upgraded to virtual anchor nodes .Complete positioning upgraded to virtual anchor nodes to help neighbors to locate. It reduces the positioning error a

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19

Chung-Hyok, O., Jo Se-Ung, Ri Chang-Yong, and Om Chol-Nam. "SINGLE-SHOT DETECTOR USING ADAPTIVE ANCHORS." ICTACT Journal on Image and Video Processing 15, no. 4 (2025): 3613–19. https://doi.org/10.21917/ijivp.2025.0511.

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Slim-object detection is one of the challenging problems in image processing because the shape (or bounding box) of a slim object changes a lot according to the viewpoint. However, so far there has been a lot of investigations on small-object detection problems. In addition, most of investigations were focused on effective feature extractions. However, only with the effective feature extraction slim-object detection problems are not manipulated properly because of the large-scale varying proportions of bounding boxes. In general, most of single-shot detectors use anchors to detect several obje

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Wang, Zhong, Lei Wu, Tong Li, and Peibei Shi. "A Smoke Detection Model Based on Improved YOLOv5." Mathematics 10, no. 7 (2022): 1190. http://dx.doi.org/10.3390/math10071190.

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Fast and accurate smoke detection is very important for reducing fire damage. Due to the complexity and changeable nature of smoke scenes, existing smoke detection technology has the problems of a low detection rate and a high false negative rate, and the robustness and generalization ability of the algorithms are not high. Therefore, this paper proposes a smoke detection model based on the improved YOLOv5. First, a large number of real smoke and synthetic smoke images were collected to form a dataset. Different loss functions (GIoU, DIoU, CIoU) were used on three different models of YOLOv5 (Y

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Yao, Chao Yi, Qian Hui Pu, and Ya Dong Yao. "Mechanical Features of Cable-Girder Anchorage for Long-Span Railway Cable-Stayed Bridge with Steel Box Girders." Applied Mechanics and Materials 587-589 (July 2014): 1391–94. http://dx.doi.org/10.4028/www.scientific.net/amm.587-589.1391.

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The cable-stayed bridge got rapid development in recent years. And for long-span cable-stayed bridges, the cable-girder anchorage structure is a key component in designing. The function of the cable-girder anchorage structure is to transfer the load between cables and the main girder. With the complex load transfer mechanism and stress concentration induced by large cable force, rational design of cable-girder anchorage structure is critical to long-span cable-stayed bridges. Take a certain long-span railway cable-stayed bridge in Zhejiang Province as the investigation, the load transfer mecha

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Li, Hao, Sanyuan Zhao, Wenjun Zhao, Libin Zhang, and Jianbing Shen. "One-Stage Anchor-Free 3D Vehicle Detection from LiDAR Sensors." Sensors 21, no. 8 (2021): 2651. http://dx.doi.org/10.3390/s21082651.

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Recent one-stage 3D detection methods generate anchor boxes with various sizes and orientations in the ground plane, then determine whether these anchor boxes contain any region of interest and adjust the edges of them for accurate object bounding boxes. The anchor-based algorithm calculates the classification and regression label for each anchor box during the training process, which is inefficient and complicated. We propose a one-stage, anchor-free 3D vehicle detection algorithm based on LiDAR point clouds. The object position is encoded as a set of keypoints in the bird’s-eye view (BEV) of

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Wang, Zechen, Chun Bao, Jie Cao, and Qun Hao. "AOGC: Anchor-Free Oriented Object Detection Based on Gaussian Centerness." Remote Sensing 15, no. 19 (2023): 4690. http://dx.doi.org/10.3390/rs15194690.

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Oriented object detection is a challenging task in scene text detection and remote sensing image analysis, and it has attracted extensive attention due to the development of deep learning in recent years. Currently, mainstream oriented object detectors are anchor-based methods. These methods increase the computational load of the network and cause a large amount of anchor box redundancy. In order to address this issue, we proposed an anchor-free oriented object detection method based on Gaussian centerness (AOGC), which is a single-stage anchor-free detection method. Our method uses contextual

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Wang, Haibo, Hengxuan Wu, Lige Hu, and Chen Zhang. "Analysis and Predictive Evaluation of Mechanical Properties of Steel Anchor Box for High-Speed-Railway Cable-Stayed Bridge." Applied Sciences 13, no. 9 (2023): 5575. http://dx.doi.org/10.3390/app13095575.

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As the stress amplitude in the anchorage zone of cable-stayed bridges vary considerably, it is essential to study the fatigue-load-bearing capacity of the anchorage structures of cable-stayed-bridge girders. In this study, the mechanical properties and force-transmission mechanism of a built-in double-fixed steel anchor box, as well as the influence of the geometric design parameters of the main pressure plates and support plates on its stress performance, were studied. A PSO-BP built-in double-fixed steel anchor box mechanical-performance-prediction-and-evaluation system was established, with

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Chen, Faquan, Miaolei Deng, Hui Gao, Xiaoya Yang, and Dexian Zhang. "ACA-Net: An Adaptive Convolution and Anchor Network for Metallic Surface Defect Detection." Applied Sciences 12, no. 16 (2022): 8070. http://dx.doi.org/10.3390/app12168070.

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Metallic surface defect detection is critical to ensure the quality of industrial products. Recently, human-advanced surface defect detection algorithms have been proposed. Most of these algorithms rely on convolutional neural networks (CNN) and an anchoring scheme. However, a convolution unit only samples the input feature maps at fixed shapes and locations. Similarly, a set of anchors are uniformly predefined with fixed scales and shapes, which increases the difficulties of bounding box regression. Therefore, we propose an adaptive convolution and anchor network for metallic surface defect d

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Zhao, Min, Wen Ru Lu, and Lin Ma. "Design Optimization of Steel Anchor Beam in Cable-Pylon Composite Anchor Structure." Applied Mechanics and Materials 501-504 (January 2014): 1374–77. http://dx.doi.org/10.4028/www.scientific.net/amm.501-504.1374.

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Because the stress concentration usually appears in the plate corner or discontinuity zone, it is necessary to optimize design for local plate of steel anchor beam bearing huge cable force. Based on 3D elaborate finite-element method, the stress distribution of steel anchor beam of cable-pylon composite anchor structure was analyzed. The results showed that the steel anchor beam of cable-pylon composite anchorage structure was safe and reliable, the application of the vertical stiffened plate of the side plate in anchor box and the middle diaphragm efficiently improved the force state of the s

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Lu, Chun Yang, Chong Wu, and Qing Tian Su. "A Specimen Design of Steel Anchor Box on Arch Pylon of a Cable-Supported Bridge." Advanced Materials Research 163-167 (December 2010): 332–36. http://dx.doi.org/10.4028/www.scientific.net/amr.163-167.332.

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A specimen for a static model test was designed to simulate a steel anchor box on the arch pylon of a cable-supported bridge. In order to reflect mechanical behavior of the prototype of the real structure, appropriate boundary conditions were determined by the comparison of FE analysis results from the real structure and the specimen. The design of the specimen successfully dealt with the difficulties in loading irregular structures. The FE analysis results show: the stress distribution on specimen was in good accordance with the real structure; the specimen can well represent the mechanical b

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Ren, Xudie, and Shenghong Li. "An Anchor-Free 3D Object Detection Approach Based on Hierarchical Pillars." Wireless Communications and Mobile Computing 2022 (August 18, 2022): 1–9. http://dx.doi.org/10.1155/2022/3481517.

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Object detection in the 2D domain is well developed owing to the wide application of CMOS image sensors and the great success of deep learning technologies in recent years. However, under circumstances such as autonomous driving, the variation of weather conditions and light conditions makes it impossible to perform reliable detection using regular 2D image sensors. 3D data generated by a Lidar or Radar is more robust to such environments, hence serving as an essential complement to 2D data in such scenarios. Well-established anchor-based detectors in the 2D domain suffer from time-consuming a

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Nie, Lunyiu, Jiuding Sun, Yanlin Wang, et al. "Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (2023): 13400–13408. http://dx.doi.org/10.1609/aaai.v37i11.26572.

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The recent prevalence of pretrained language models (PLMs) has dramatically shifted the paradigm of semantic parsing, where the mapping from natural language utterances to structured logical forms is now formulated as a Seq2Seq task. Despite the promising performance, previous PLM-based approaches often suffer from hallucination problems due to their negligence of the structural information contained in the sentence, which essentially constitutes the key semantics of the logical forms. Furthermore, most works treat PLM as a black box in which the generation process of the target logical form i

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Han, Ping, Xujun Zhuang, Huahong Zuo, Ping Lou, and Xiao Chen. "The Lightweight Anchor Dynamic Assignment Algorithm for Object Detection." Sensors 23, no. 14 (2023): 6306. http://dx.doi.org/10.3390/s23146306.

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Smart security based on object detection is one of the important applications of edge computing in IoT. Anchors in object detection refer to points on the feature map, which can be used to generate anchor boxes and serve as training samples. Current object detection models do not consider the aspect ratio of the ground-truth boxes in anchor assignment and are not well-adapted to objects with very different shapes. Therefore, this paper proposes the Lightweight Anchor Dynamic Assignment algorithm (LADA) for object detection. LADA does not change the structure of the original detection model; fi

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Wang, Ye, Zhenyi Liu, and Weiwen Deng. "Anchor Generation Optimization and Region of Interest Assignment for Vehicle Detection." Sensors 19, no. 5 (2019): 1089. http://dx.doi.org/10.3390/s19051089.

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Region proposal network (RPN) based object detection, such as Faster Regions with CNN (Faster R-CNN), has gained considerable attention due to its high accuracy and fast speed. However, it has room for improvements when used in special application situations, such as the on-board vehicle detection. Original RPN locates multiscale anchors uniformly on each pixel of the last feature map and classifies whether an anchor is part of the foreground or background with one pixel in the last feature map. The receptive field of each pixel in the last feature map is fixed in the original faster R-CNN and

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Liu, Zhe, Xiaoqing Ye, Xiao Tan, Errui Ding, and Xiang Bai. "StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-Based 3D Object Detection." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 2 (2023): 1790–98. http://dx.doi.org/10.1609/aaai.v37i2.25268.

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In this paper, we propose a cross-modal distillation method named StereoDistill to narrow the gap between the stereo and LiDAR-based approaches via distilling the stereo detectors from the superior LiDAR model at the response level, which is usually overlooked in 3D object detection distillation. The key designs of StereoDistill are: the X-component Guided Distillation~(XGD) for regression and the Cross-anchor Logit Distillation~(CLD) for classification. In XGD, instead of empirically adopting a threshold to select the high-quality teacher predictions as soft targets, we decompose the predicte

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Li, Rui, Tong Liu, and Yalu Ren. "Real-Time Forestry Pest Detection Method Based on Enhanced Feature Fusion with Deep Learning." Journal of Electrical and Computer Engineering 2022 (August 28, 2022): 1–9. http://dx.doi.org/10.1155/2022/5774306.

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The aim of this study is to address the real-time requirements of forestry pest detection and the problem of a low detection rate caused by anchor box redundancy of existing detection methods. This paper proposes a real-time forestry pest detection method based on theanchor-free method that can balance the detection rate and detection accuracy. Based on the TTFNet method, a mobile feature extraction network is introduced, and the effective feature weights are increased by one-dimensional convolution before feature output to suppress invalid features. For pest detection, data are mostly small-s

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Liu, Jie, Wensheng Qiao, and Zhaolong Xiong. "OAB-YOLOv5: One-Anchor-Based YOLOv5 for Rotated Object Detection in Remote Sensing Images." Journal of Sensors 2022 (December 13, 2022): 1–11. http://dx.doi.org/10.1155/2022/8515510.

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Remote sensing images are widely distributed, small in object size, and complex in background, resulting in low accuracy and slow speed of remote sensing image detection. Existing remote sensing object detection is generally based on the detector with anchors. With the proposal of a feature pyramid network (FPN) and focal loss, an anchorless detector emerges, however, the accuracy of anchorless detection is often low. First, this study analyzes the differences and characteristics of the intersection of union (IoU) and shape matchings based on anchors in mainstream algorithms and indicates that

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Li, Ting, Xing Wang Sheng, and Hua Shuai Zhang. "Analysis of the Design Method for the Casual Anchor Skeleton at the Closure for PC Continuous Box Girder Bridge." Advanced Materials Research 712-715 (June 2013): 1011–17. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.1011.

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A finite element study was performed to investigate the design method of the casual anchor skeleton at the closure of a PC continuous box girder bridge. Based on a finite element model of a certain four spans PC continuous box girder bridge, we found that the stresses of skeleton calculated with the finite model were 5 percent beyond those with the traditional analytic method. Besides, the tensile stresses increased 19 percent and the compressive ones were 14 percent decreased considered the vertical unbalance temperature and both increased 8 percent for the wind, which were totally ignored in

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Ming, Qi, Zhiqiang Zhou, Lingjuan Miao, Hongwei Zhang, and Linhao Li. "Dynamic Anchor Learning for Arbitrary-Oriented Object Detection." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 3 (2021): 2355–63. http://dx.doi.org/10.1609/aaai.v35i3.16336.

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Arbitrary-oriented objects widely appear in natural scenes, aerial photographs, remote sensing images, etc., and thus arbitrary-oriented object detection has received considerable attention. Many current rotation detectors use plenty of anchors with different orientations to achieve spatial alignment with ground truth boxes. Intersection-over-Union (IoU) is then applied to sample the positive and negative candidates for training. However, we observe that the selected positive anchors cannot always ensure accurate detections after regression, while some negative samples can achieve accurate loc

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Wen, Tingxi, Hanxiao Wu, Yu Du, and Chuanbo Huang. "Faster R-CNN with improved anchor box for cell recognition." Mathematical Biosciences and Engineering 17, no. 6 (2020): 7772–86. http://dx.doi.org/10.3934/mbe.2020395.

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Huang, Bo, Jianhong Liu, Xiang Liu, et al. "Improved YOLOv5 Network for Steel Surface Defect Detection." Metals 13, no. 8 (2023): 1439. http://dx.doi.org/10.3390/met13081439.

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Steel surface defect detection is crucial for ensuring steel quality. The traditional detection algorithm has low detection probability. This paper proposes an improved algorithm based on the YOLOv5 model to enhance detection probability. Firstly, deformable convolution is introduced in the backbone network, and a traditional convolution module is replaced by deformable convolution; secondly, the CBAM attention mechanism is added to the backbone network; then, Focal EIOU is used instead of the CIOU loss function in YOLOv5; lastly, the K-means algorithm is used to cluster the Anchor box, and th

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Cao, Dongping, Jiachen Dang, and Yong Zhong. "Towards Accurate Scene Text Detection with Bidirectional Feature Pyramid Network." Symmetry 13, no. 3 (2021): 486. http://dx.doi.org/10.3390/sym13030486.

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Scene text detection, this task of detecting text from real images, is a hot research topic in the machine vision community. Most of the current research is based on an anchor box. These methods are complex in model design and time-consuming to train. In this paper, we propose a new Fully Convolutional One-Stage Object Detection (FCOS)-based text detection method that can robustly detect multioriented and multilingual text from natural scene images in a per pixel prediction approach. Our proposed text detector employs an anchor-free approach, unlike state-of-the-art text detectors that do not

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Wei, Xing, and Jun Li. "Theoretical and Experimental Study on Cable-to-Irder Anchorages in Long-Span Cable-Stayed Bridges with Steel Box Girder." Advanced Materials Research 255-260 (May 2011): 1315–18. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.1315.

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Cable anchorages are among the most important elements in a cable-stayed bridge, which are complex in structure and bear heavy load. There are three main forms in anchorage zone between girder and cable in modern long-span cable-stayed bridge with steel box girder, which are ear-plate form, anchor-box form and anchor-plate form. Combining theoretical analysis with the static test, static behavior and stress transfer pathway of three typical cable-to-girder anchorages were analyzed, and the differences of stress distribution and stress concentration among anchorage zones were pointed out. Based

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Su, Weixian, and Donglin Jing. "DDL R-CNN: Dynamic Direction Learning R-CNN for Rotated Object Detection." Algorithms 18, no. 1 (2025): 21. https://doi.org/10.3390/a18010021.

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Current remote sensing (RS) detectors often rely on predefined anchor boxes with fixed angles to handle the multi-directional variations of targets. This approach makes it challenging to accurately select regions of interest and extract features that align with the direction of the targets. Most existing regression methods also adopt angle regression to match the attributes of remote sensing detectors. Due to the inconsistent regression direction and massive anchor boxes with a high aspect ratio, the extracted target features change greatly, the loss function changes drastically, and the train

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Wang, Wei Feng, Guo Qing Zheng, Zhi Lin Zhang, and Xiao Song. "Measuring and Analysis of Local Stress under Anchorage of Continuous Rigid Frame Bridge." Advanced Materials Research 163-167 (December 2010): 1268–73. http://dx.doi.org/10.4028/www.scientific.net/amr.163-167.1268.

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Under the Large Tonnage Pre-Stress, the stress of concrete which is under the anchor plate is complicated. To ensure the safety of construction and structure, the condition of local stress of the bridge structure should be investigated. When the pre-stress steel of Segment 1# of Pier 1# of Hongwuwo Bridge is tensioned, the strain situation of concrete near the anchor plate of the box girder is measured. The measured value is compared with the analytical value which is obtained through space finite element method.

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Hou, We Nang, and Fei Ying Liu. "Analysis and Research about the Influences of the Foundation Pit on the Nearby Water Pipe Bridge." Advanced Materials Research 838-841 (November 2013): 1155–58. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.1155.

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There is a foundation pit of box culverts adjacent to the water pipe bridge of the Dam River in Shenzhen. This text uses large finite element software MIDAS/GTS to do the three-dimensional numerical simulation of pile-earth-supporting anchor, and analyzes the influences on the pipe bridge during the evacuation of the foundation pit with box culverts. This text is on the purpose of providing suggestion for the design and construction of the foundation pit.

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Fang, Zhenyu, Jinchang Ren, He Sun, Stephen Marshall, Junwei Han, and Huimin Zhao. "SAFDet: A Semi-Anchor-Free Detector for Effective Detection of Oriented Objects in Aerial Images." Remote Sensing 12, no. 19 (2020): 3225. http://dx.doi.org/10.3390/rs12193225.

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An oriented bounding box (OBB) is preferable over a horizontal bounding box (HBB) in accurate object detection. Most of existing works utilize a two-stage detector for locating the HBB and OBB, respectively, which have suffered from the misaligned horizontal proposals and the interference from complex backgrounds. To tackle these issues, region of interest transformer and attention models were proposed, yet they are extremely computationally intensive. To this end, we propose a semi-anchor-free detector (SAFDet) for object detection in aerial images, where a rotation-anchor-free-branch (RAFB)

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Yuan, Zhengwu, Sijia Kou, Qiao Tang, and Fapeng Xu. "A Rotating Object Detection Method Based on Anchor-Free in Remote Sensing Scene Images." Journal of Physics: Conference Series 2189, no. 1 (2022): 012005. http://dx.doi.org/10.1088/1742-6596/2189/1/012005.

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Abstract The core of the object detection task is to be able to accurately classify and regress the object position. The current two-stage algorithm based on convolutional neural networks has achieved good results in horizontal box detection, but the effect in rotating bounding box detection is limited, and the anchor-based detection algorithm has problems, such as complicated hyper-parameter design and imbalance between positive and negative samples. In order to better solve the above problems, the model in this paper adopts a single-stage anchor-free method, uses the high resolution network(

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Saleem, Muhammad Hammad, Johan Potgieter, and Khalid Mahmood Arif. "Weed Detection by Faster RCNN Model: An Enhanced Anchor Box Approach." Agronomy 12, no. 7 (2022): 1580. http://dx.doi.org/10.3390/agronomy12071580.

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To apply weed control treatments effectively, the weeds must be accurately detected. Deep learning (DL) has been quite successful in performing the weed identification task. However, various aspects of the DL have not been explored in previous studies. This research aimed to achieve a high average precision (AP) of eight classes of weeds and a negative (non-weed) class, using the DeepWeeds dataset. In this regard, a DL-based two-step methodology has been proposed. This article is the second stage of the research, while the first stage has already been published. The former phase presented a we

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Zhao, Enting, Yang Liu, Junguo Zhang, and Ye Tian. "Forest Fire Smoke Recognition Based on Anchor Box Adaptive Generation Method." Electronics 10, no. 5 (2021): 566. http://dx.doi.org/10.3390/electronics10050566.

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There are major problems in the field of image-based forest fire smoke detection, including the low recognition rate caused by the changeable and complex state of smoke in the forest environment and the high false alarm rate caused by various interferential objects in the recognition process. Here, a forest fire smoke identification method based on the integration of environmental information is proposed. The model uses (1) the Faster R-CNN as the basic framework, (2) a component perception module to generate a receptive field of integrated environmental information through separable convoluti

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Yu, Donghang, Qing Xu, Haitao Guo, et al. "Anchor-Free Arbitrary-Oriented Object Detector Using Box Boundary-Aware Vectors." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15 (2022): 2535–45. http://dx.doi.org/10.1109/jstars.2022.3158905.

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Ma, Wenchi, Kaidong Li, and Guanghui Wang. "Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection." IEEE Access 8 (2020): 129300–129309. http://dx.doi.org/10.1109/access.2020.3009344.

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Shan, Renliang, Chen Liang, Weijun Liu, Yuzhao Jiang, and Tianwen Li. "Development and Application of Equipment for Anchor Cable with C-Shaped Tube Tension-Shear Test System." Geofluids 2022 (November 2, 2022): 1–19. http://dx.doi.org/10.1155/2022/5942109.

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Based on the phenomenon of serious tensile-shear failure of bolts and cables, domestic and foreign scholars’ research on the mechanical properties of bolts and cables has gradually changed from pure tensile to tensile-shear performance. To reduce the long-term bolt and cable breakage accidents in deep soft rock tunnels in coal mines, we independently developed a new type of support material—anchor cable with C-shaped tube and a corresponding tensile-shear test system. The system parameters are set through theoretical derivation, and the three main structures of the test system are designed wit

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