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Journal articles on the topic 'Self objects'

Author: Grafiati

Published: 7 September 2021

Last updated: 29 July 2025

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1

Clark, Don. "Object-lessons from self-explanatory objects." Computers & Education 18, no. 1-3 (1992): 11–22. http://dx.doi.org/10.1016/0360-1315(92)90031-y.

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2

Lohmann, Adolf W., and David Mendlovic. "Self-Fourier objects and other self-transform objects." Journal of the Optical Society of America A 9, no. 11 (1992): 2009. http://dx.doi.org/10.1364/josaa.9.002009.

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3

Lipson, S. G. "Self-Fourier objects and other self-transform objects: comment." Journal of the Optical Society of America A 10, no. 9 (1993): 2088. http://dx.doi.org/10.1364/josaa.10.002088.

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4

Banerjee, Partha P., and Ting-Chung Poon. "Self-Fourier objects and other self-transform objects: comment." Journal of the Optical Society of America A 12, no. 2 (1995): 425. http://dx.doi.org/10.1364/josaa.12.000425.

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5

Kleperis, J., V. Solovey, V. Fylenko, et al. "Self-sufficient PV-H2 Alternative Energy Objects." Journal of Mechanical Engineering 19, no. 4 (2016): 62–68. http://dx.doi.org/10.15407/pmach2016.04.062.

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6

Mou, Bo. "The Same Objects, Self-Identities, Existential Bases." Revista Portuguesa de Filosofia 80, no. 4 (2024): 1145–86. https://doi.org/10.17990/rpf/2024_80_4_1145.

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When doing philosophy, there is one norm-like common basis of which we have our pre-theoretic understanding (the “same-object-recognizing” understanding for short) to the effect that, given an object (to be under examination), there is a way that the object objectively is such that we can all talk about that same object even though we may say different things about it, neither resulting in “anything goes” nor bringing about radically different objects thus without genuine engagement. A theoretic examination of the metaphysical issue of the self-identity (as sameness) of given objects (or, in p

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MARSHALL, JONATHAN A., and VISWANATH SRIKANTH. "CURVED TRAJECTORY PREDICTION USING A SELF-ORGANIZING NEURAL NETWORK." International Journal of Neural Systems 10, no. 01 (2000): 59–70. http://dx.doi.org/10.1142/s0129065700000065.

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Existing neural network models are capable of tracking linear trajectories of moving visual objects. This paper describes an additional neural mechanism, disfacilitation, that enhances the ability of a visual system to track curved trajectories. The added mechanism combines information about an object's trajectory with information about changes in the object's trajectory, to improve the estimates for the object's next probable location. Computational simulations are presented that show how the neural mechanism can learn to track the speed of objects and how the network operates to predict the

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Zhao, Guanjia, and Martin Pumera. "Macroscopic Self-Propelled Objects." Chemistry - An Asian Journal 7, no. 9 (2012): 1994–2002. http://dx.doi.org/10.1002/asia.201200206.

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9

Wheeler, S. Christian, and Christopher J. Bechler. "Objects and self-identity." Current Opinion in Psychology 39 (June 2021): 6–11. http://dx.doi.org/10.1016/j.copsyc.2020.07.013.

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10

JANUšONIS, STEPAS. "Self-formation in Microelectronics." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 14, no. 3 (2000): 221–34. http://dx.doi.org/10.1017/s0890060400143045.

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The external formation of integrated circuits based on lithographic processes is not the only possible method for manufacturing electron devices, either integrated circuits or photovoltaic cells. Planar technology, based on external formation, requires a certain sequence of interactions between the structured medium and the object being formed, in which the configuration of the region to be formed and its position are defined by the structure of the media and their alignment with the object. By contrast, in self-formation the interaction between an object to be formed and its chaotic medium is

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Lo, Wen-Chien, Chung-Cheng Chiu, and Jia-Horng Yang. "Three-Dimensional Object Segmentation and Labeling Algorithm Using Contour and Distance Information." Applied Sciences 12, no. 13 (2022): 6602. http://dx.doi.org/10.3390/app12136602.

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Object segmentation and object labeling are important techniques in the field of image processing. Because object segmentation techniques developed using two-dimensional images may cause segmentation errors for overlapping objects, this paper proposes a three-dimensional object segmentation and labeling algorithm that combines the segmentation and labeling functions using contour and distance information for static images. The proposed algorithm can segment and label the object without relying on the dynamic information of consecutive images and without obtaining the characteristics of the seg

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Shin, Jungwook, Jaeill Kim, Kyungeun Lee, Hyunghun Cho, and Wonjong Rhee. "Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 2 (2023): 2282–91. http://dx.doi.org/10.1609/aaai.v37i2.25323.

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In autonomous driving, data augmentation is commonly used for improving 3D object detection. The most basic methods include insertion of copied objects and rotation and scaling of the entire training frame. Numerous variants have been developed as well. The existing methods, however, are considerably limited when compared to the variety of the real world possibilities. In this work, we develop a diversified and realistic augmentation method that can flexibly construct a whole-body object, freely locate and rotate the object, and apply self-occlusion and external-occlusion accordingly. To impro

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Raghavendra, Shashank Horakodige, Yashasvi Sorapalli, Nehashri Poojar S. V., et al. "Multi-camera multi-person tracking with DeepSORT and MySQL." Indonesian Journal of Electrical Engineering and Computer Science 38, no. 2 (2025): 997. https://doi.org/10.11591/ijeecs.v38.i2.pp997-1009.

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Multi-camera multi-object tracking refers to the process of simultaneously tracking numerous objects using a network of connected cameras. Constructing an accurate depiction of an object’s movements requires the analysis of video data from many camera feeds, detection of items of interest, and their association across various camera perspectives. The objective is to accurately estimate the trajectories of the objects as they navigate through a monitored area. It has several uses, including surveillance, robotics, self-driving cars, and augmented reality. The current version of an object tracki

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Pietrzak, Wit. "The Self among its objects." English Text Construction 7, no. 1 (2014): 1–17. http://dx.doi.org/10.1075/etc.7.1.01pie.

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This article explores W. B. Yeats’s “A Dialogue of Self and Soul” as a space of irresolvable tension between the destitution of bodily life, imaged forth by the Soul, and the capacity of poetry to compensate for that destitution, which is projected by the Self. The analysis shows the poem to be a dense structure of mirror-like internal relations, primarily between the Self and Soul but also between the Self and the objects it chooses as opposition to the Soul’s vision. These lines of reflection, which carry the poem’s imaginative energy, will be investigated vis-à-vis Jacques Lacan’s theorisat

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Shorokhov, V. V., E. S. Soldatov, and S. P. Gubin. "Self-capacitance of nanosized objects." Journal of Communications Technology and Electronics 56, no. 3 (2011): 326–41. http://dx.doi.org/10.1134/s1064226911030090.

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16

Muñoz, Muñoz Francisco, Pilar Casado, David Hernández-Gutiérrez, et al. "Neural Dynamics in the Processing of Personal Objects as an Index of the Brain Representation of the Self." Neural Dynamics in the Processing of Personal Objects as an Index of the Brain Representation of the Self 33 (November 21, 2019): 86–100. https://doi.org/10.1007/s10548-019-00748-2.

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Abstract Across time, personal belongings incorporate semantic self-knowledge contributing to the subjective meaning of mineness and preference, whose access is prioritized. Although neuroimaging is starting to explore self-knowledge processes, more research is still necessary to better understand many aspects of these processes. One, the timing of the mechanisms involved, is the main purpose of the present study. Here, we investigate the diferential patterns of event-related brain potentials and the underlying dynamic causal connectivity between neural generators to self-related objects rangi

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Dutta, Arkadeb, Tidhar Lev-Ari, Ouriel Barzilay, et al. "Self-motion trajectories can facilitate orientation-based figure-ground segregation." Journal of Neurophysiology 123, no. 3 (2020): 912–26. http://dx.doi.org/10.1152/jn.00439.2019.

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Segregation of objects from the background is a basic and essential property of the visual system. We studied the neural detection of objects defined by orientation difference from background in barn owls ( Tyto alba). We presented wide-field displays of densely packed stripes with a dominant orientation. Visual objects were created by orienting a circular patch differently from the background. In head-fixed conditions, neurons in both tecto- and thalamofugal visual pathways (optic tectum and visual Wulst) were weakly responsive to these objects in their receptive fields. However, notably, in

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18

Frank, Florian, Peter Buckel, Ludwig Hoegner, and Petra Hofstedt. "A Landmark Selection Method for Object-Based Visual Outdoor Localization Approaches of Automated Ground Vehicles." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W5-2024 (June 27, 2024): 163–69. http://dx.doi.org/10.5194/isprs-annals-x-4-w5-2024-163-2024.

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Abstract. Autonomous vehicles must navigate independently in an outdoor environment using features or objects. However, some objects may be more or less suitable for localization due to their attributes. Therefore, this work investigates the suitability of landmarks for camera- and object-based outdoor localization methods. First, object attributes are methodically derived from the requirements of object-based localization. The physical representation on the camera image plane, probability of occurrence, and persistence were identified as influencing the object localization suitability. The in

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19

Hoffman, Donna L., and Thomas P. Novak. "Consumer and Object Experience in the Internet of Things: An Assemblage Theory Approach." Journal of Consumer Research 44, no. 6 (2017): 1178–204. http://dx.doi.org/10.1093/jcr/ucx105.

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Abstract The consumer Internet of Things (IoT) has the potential to revolutionize consumer experience. Because consumers can actively interact with smart objects, the traditional, human-centric conceptualization of consumer experience as consumers’ internal subjective responses to branded objects may not be sufficient to conceptualize consumer experience in the IoT. Smart objects possess their own unique capacities and their own kinds of experiences in interaction with the consumer and each other. A conceptual framework based on assemblage theory and object-oriented ontology details how consum

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20

Janušonis, Stepas. "Self-Formation of the Spatial Planar Object. Topological Approach." Solid State Phenomena 97-98 (April 2004): 85–90. http://dx.doi.org/10.4028/www.scientific.net/ssp.97-98.85.

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Eight-dimensional topological space providing an object evolution in time, including causes of evolution is presented. Part of Euclidean space separated by any close surface from complementary space, where any Euclidean point of space is juxtaposed with parameter, is being felt as an object. Coplanar approximation of flat planar devices is based on the flat, homogeneous, isotropic planar object and chaotic medium. The new, more general approximation of the topological space by equidistant surfaces, suitable for spatial planar objects, is presented. Selfformation of spatial objects (homogeneous

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21

Skopec, Robert. "Global Workspace, Self, and Mathematical Intuition." Neuroscience and Neurological Surgery 2, no. 4 (2018): 01–05. http://dx.doi.org/10.31579/2578-8868/201.

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In human consciousness a world of separated objects is perceived by an inner observer as an feeling of One-self. A topological correlation of the Self to the world, by either emerging all separated objects into one or splitting the Self in as many disconnected Sub-selves as there are objects perceived. The Self is generated in a neural network by algorithmic compression of spatial and temporal information into a toponeuronal structure (TNS). A correlation of an inner observer to parts of a structure inevitably entails a correlation to the whole, serving of the Self. Molecular mechanisms for th

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22

Choi, Kang, Yongil Kim, and Changjae Kim. "Analysis of Fish-Eye Lens Camera Self-Calibration." Sensors 19, no. 5 (2019): 1218. http://dx.doi.org/10.3390/s19051218.

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The fish-eye lens camera offers the advantage of efficient acquisition of image data through a wide field of view. However, unlike the popular perspective projection camera, a strong distortion effect appears as the periphery of the image is compressed. Such characteristics must be precisely analyzed through camera self-calibration. In this study, we carried out a fish-eye lens camera self-calibration while considering different types of test objects and projection models. Self-calibration was performed using the V-, A-, Plane-, and Room-type test objects. In the fish-eye lens camera, the V-ty

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23

Arun, C. P. "Damage to Object Oriented Programming in the Brain Explains many of the Psychopathological Features of Schizophrenia." European Psychiatry 24, S1 (2009): 1. http://dx.doi.org/10.1016/s0924-9338(09)71348-3.

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Introduction:Modern computers often use programs that incorporate a programming technique called Object Oriented Programming (OOP), allowing users to manipulate complex ‘computational objects’ such as menus, screen windows, etc with very little effort, say the click of a mouse. OOP deals with structures called objects and allows time and computational effort saving devices such as inheritance, polymorphism and encapsulation. We examine whether the brain itself may use OOP and if representation of objects suffers a breakdown in schizophrenia.Review of literature:Previous models fail to provide

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24

Lee, Donghyeon, Joonyoung Kim, and Kyomin Jung. "Improving Object Detection Quality by Incorporating Global Contexts via Self-Attention." Electronics 10, no. 1 (2021): 90. http://dx.doi.org/10.3390/electronics10010090.

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Fully convolutional structures provide feature maps acquiring local contexts of an image by only stacking numerous convolutional layers. These structures are known to be effective in modern state-of-the-art object detectors such as Faster R-CNN and SSD to find objects from local contexts. However, the quality of object detectors can be further improved by incorporating global contexts when some ambiguous objects should be identified by surrounding objects or background. In this paper, we introduce a self-attention module for object detectors to incorporate global contexts. More specifically, o

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25

Huang, Shih-Chia, Quoc-Viet Hoang, and Da-Wei Jaw. "Self-Adaptive Feature Transformation Networks for Object Detection in low luminance Images." ACM Transactions on Intelligent Systems and Technology 13, no. 1 (2022): 1–11. http://dx.doi.org/10.1145/3480973.

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Despite the recent improvement of object detection techniques, many of them fail to detect objects in low-luminance images. The blurry and dimmed nature of low-luminance images results in the extraction of vague features and failure to detect objects. In addition, many existing object detection methods are based on models trained on both sufficient- and low-luminance images, which also negatively affect the feature extraction process and detection results. In this article, we propose a framework called Self-adaptive Feature Transformation Network (SFT-Net) to effectively detect objects in low-

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26

Zhang, Zhongwei, Yangyu Guo, Marc Bescond, Jie Chen, Masahiro Nomura, and Sebastian Volz. "Thermal self-synchronization of nano-objects." Journal of Applied Physics 130, no. 8 (2021): 084301. http://dx.doi.org/10.1063/5.0058252.

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27

Lutwak, Hope, Bas Rokers, and Eero Simoncelli. "Detecting Moving Objects During Self-motion." Journal of Vision 24, no. 10 (2024): 761. http://dx.doi.org/10.1167/jov.24.10.761.

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28

Sweet, Alistair D. "Internal objects and self-destructive behaviours." Scandinavian Psychoanalytic Review 35, no. 2 (2012): 116–26. http://dx.doi.org/10.1080/01062301.2012.10662649.

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29

BIRK, SUSAN. "‘Self-Embedding’ of Foreign Objects Reported." Internal Medicine News 42, no. 3 (2009): 10. http://dx.doi.org/10.1016/s1097-8690(09)70093-9.

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30

Lenoir, M., E. Musch, M. Janssens, E. Thiery, and J. Uyttenhove. "Intercepting Moving Objects During Self-Motion." Journal of Motor Behavior 31, no. 1 (1999): 55–67. http://dx.doi.org/10.1080/00222899909601891.

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31

Herrera, L. "Cracking of self-gravitating compact objects." Physics Letters A 165, no. 3 (1992): 206–10. http://dx.doi.org/10.1016/0375-9601(92)90036-l.

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32

Zhao, Guanjia, and Martin Pumera. "ChemInform Abstract: Macroscopic Self-Propelled Objects." ChemInform 44, no. 8 (2013): no. http://dx.doi.org/10.1002/chin.201308228.

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33

Mitra, Manu. "Editorial on Self-Healing Robots." Advances in Robotics and Mechanical Engineering 1, no. 5 (2019): 83–86. https://doi.org/10.5281/zenodo.2591213.

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Scientists at University of Colorado, Boulder had developed a first and fully re-healable and recyclable electronic material. This novel technology functions like properties of human skin, capable of measuring pressure, temperature and vibration. Technically, it’s a self-healing Robot - For instance if robots are wrapped in an electronic material that mimics as human skin; theoretically it can also sense objects that is too hot or too cold or if more or less pressure needs to be exerted on an object. If this material is beyond repair, then it can be soaked in a solution that separates ou

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Hou, Jie-Bo, Xiaobin Zhu, and Xu-Cheng Yin. "Self-Adaptive Aspect Ratio Anchor for Oriented Object Detection in Remote Sensing Images." Remote Sensing 13, no. 7 (2021): 1318. http://dx.doi.org/10.3390/rs13071318.

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Object detection is a significant and challenging problem in the study of remote sensing. Since remote sensing images are typically captured with a bird’s-eye view, the aspect ratios of objects in the same category may obey a Gaussian distribution. Generally, existing object detection methods ignore exploring the distribution character of aspect ratios for improving performance in remote sensing tasks. In this paper, we propose a novel Self-Adaptive Aspect Ratio Anchor (SARA) to explicitly explore aspect ratio variations of objects in remote sensing images. To be concrete, our SARA can self-ad

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Lu, Kewei, Fengkui Zhao, Xiaomei Xu, and Yong Zhang. "An object detection algorithm combining self-attention and YOLOv4 in traffic scene." PLOS ONE 18, no. 5 (2023): e0285654. http://dx.doi.org/10.1371/journal.pone.0285654.

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Automobile intelligence is the trend for modern automobiles, of which environment perception is the key technology of intelligent automobile research. For autonomous vehicles, the detection of object information, such as vehicles and pedestrians in traffic scenes is crucial to improving driving safety. However, in the actual traffic scene, there are many special conditions such as object occlusion, small objects, and bad weather, which will affect the accuracy of object detection. In this research, the SwinT-YOLOv4 algorithm is proposed for detecting objects in traffic scenes, which is based o

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36

Mead, Nicole L., and Roy F. Baumeister. "Do objects fuel thyself? The relationship between objects and self-regulation." Current Opinion in Psychology 39 (June 2021): 16–19. http://dx.doi.org/10.1016/j.copsyc.2020.07.008.

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Ogata, Tetsuya, Hayato Ohba, Jun Tani, Kazunori Komatani, and Hiroshi G. Okuno. "Extracting Multimodal Dynamics of Objects Using RNNPB." Journal of Robotics and Mechatronics 17, no. 6 (2005): 681–88. http://dx.doi.org/10.20965/jrm.2005.p0681.

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Dynamic features play an important role in recognizing objects that have similar static features in color or shape. This paper focuses on active sensing that exploits the dynamic feature of an object. An extended version of the robot, Robovie-IIs, uses its arms to move an object and determine its dynamic features. At issue is how to extract symbols from different temporal states of the object. We use a <I>recurrent neural network with parametric bias</I> (RNNPB) that generates self-organized nodes in parametric bias space. We trained an RNNPB with 42 neurons using data on sounds, t

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38

Zhang, Bo, and Yuji Naya. "Medial Prefrontal Cortex Represents the Object-Based Cognitive Map When Remembering an Egocentric Target Location." Cerebral Cortex 30, no. 10 (2020): 5356–71. http://dx.doi.org/10.1093/cercor/bhaa117.

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Abstract A cognitive map, representing an environment around oneself, is necessary for spatial navigation. However, compared with its constituent elements such as individual landmarks, neural substrates of coherent spatial information, which consists in a relationship among the individual elements, remain largely unknown. The present study investigated how the brain codes map-like representations in a virtual environment specified by the relative positions of three objects. Representational similarity analysis revealed an object-based spatial representation in the hippocampus (HPC) when partic

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Calabro, F. J., S. Soto-Faraco, and L. M. Vaina. "Acoustic facilitation of object movement detection during self-motion." Proceedings of the Royal Society B: Biological Sciences 278, no. 1719 (2011): 2840–47. http://dx.doi.org/10.1098/rspb.2010.2757.

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In humans, as well as most animal species, perception of object motion is critical to successful interaction with the surrounding environment. Yet, as the observer also moves, the retinal projections of the various motion components add to each other and extracting accurate object motion becomes computationally challenging. Recent psychophysical studies have demonstrated that observers use a flow-parsing mechanism to estimate and subtract self-motion from the optic flow field. We investigated whether concurrent acoustic cues for motion can facilitate visual flow parsing, thereby enhancing the

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40

Turk, David J., Kim van Bussel, Gordon D. Waiter, and C. Neil Macrae. "Mine and Me: Exploring the Neural Basis of Object Ownership." Journal of Cognitive Neuroscience 23, no. 11 (2011): 3657–68. http://dx.doi.org/10.1162/jocn_a_00042.

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Previous research has shown that encoding information in the context of self-evaluation leads to memory enhancement, supported by activation in ventromedial pFC. Recent evidence suggests that similar self-memory advantages can be obtained under nonevaluative encoding conditions, such as when object ownership is used to evoke self-reference. Using fMRI, the current study explored the neural correlates of object ownership. During scanning, participants sorted everyday objects into self-owned or other-owned categories. Replicating previous research, a significant self-memory advantage for the obj

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Li, Nianxin, Mao Ye, Lihua Zhou, et al. "Self-Prompting Analogical Reasoning for UAV Object Detection." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 17 (2025): 18412–20. https://doi.org/10.1609/aaai.v39i17.34026.

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Unmanned Aerial Vehicle Object Detection (UAVOD) presents unique challenges due to varying altitudes, dynamic backgrounds, and the small size of objects. Traditional detection methods often struggle with these challenges, as they typically rely on visual feature only and fail to extract the semantic relations between the objects. To address these limitations, we propose a novel approach named Self-Prompting Analogical Reasoning (SPAR). Our method utilizes the vision-language model (CLIP) to generate context-aware prompts based on image feature, providing rich semantic information that guides a

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Turk, David J., Kim van Bussel, Joanne L. Brebner, Andreea S. Toma, Olav Krigolson, and Todd C. Handy. "When “It” Becomes “Mine”: Attentional Biases Triggered by Object Ownership." Journal of Cognitive Neuroscience 23, no. 12 (2011): 3725–33. http://dx.doi.org/10.1162/jocn_a_00101.

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Previous research has demonstrated that higher-order cognitive processes associated with the allocation of selective attention are engaged when highly familiar self-relevant items are encountered, such as one's name, face, personal possessions and the like. The goal of our study was to determine whether these effects on attentional processing are triggered on-line at the moment self-relevance is established. In a pair of experiments, we recorded ERPs as participants viewed common objects (e.g., apple, socks, and ketchup) in the context of an “ownership” paradigm, where the presentation of each

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Kordts, Börge, Bennet Gerlach, and Andreas Schrader. "Self-Organizing and Self-Explaining Pervasive Environments by Connecting Smart Objects and Applications." Technologies 10, no. 1 (2022): 15. http://dx.doi.org/10.3390/technologies10010015.

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In the past decade, pervasive environments have progressed from promising research concepts to available products present in our everyday lives. By connecting multiple smart objects, device ensembles can be formed to assist users in performing tasks. Furthermore, smart objects can be used to control applications, that, in turn, can be used to control other smart objects. As manual configuration is often time-consuming, an automatic connection of the components may present a useful tool, which should take various aspects into account. While dynamically connecting these components allows for sol

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Hills, Matt, and Clarice Greco. "Fandom as an object and the objects of fandom." Matrizes 9, no. 1 (2015): 147. http://dx.doi.org/10.11606/issn.1982-8160.v9i1p147-163.

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Matt Hills is a Professor of Film &amp; TV Studies at Aberystwyth University, in Wales, and before that he was a Reader at Cardiff University. He holds a Master’s from Goldsmiths, University of London, and a PhD from the University of Sussex. Self-proclaimed fan of the British series Doctor Who, Hills has been writing about fans and fandom since his early career, especially about Doctor Who, Torchwood, and Sherlock more recently, alongside pieces on media audiences, cult film and TV, quality television and digital culture. His book Fan Cultures (2002) is among the most well known contribut

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45

Raudies, Florian, Stefan Ringbauer, and Heiko Neumann. "A Bio-Inspired, Computational Model Suggests Velocity Gradients of Optic Flow Locally Encode Ordinal Depth at Surface Borders and Globally They Encode Self-Motion." Neural Computation 25, no. 9 (2013): 2421–49. http://dx.doi.org/10.1162/neco_a_00479.

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Visual navigation requires the estimation of self-motion as well as the segmentation of objects from the background. We suggest a definition of local velocity gradients to compute types of self-motion, segment objects, and compute local properties of optical flow fields, such as divergence, curl, and shear. Such velocity gradients are computed as velocity differences measured locally tangent and normal to the direction of flow. Then these differences are rotated according to the local direction of flow to achieve independence of that direction. We propose a bio-inspired model for the computati

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Huo, Bihan, Chenglong Li, Jianwei Zhang, Yingjian Xue, and Zhoujin Lin. "SAFF-SSD: Self-Attention Combined Feature Fusion-Based SSD for Small Object Detection in Remote Sensing." Remote Sensing 15, no. 12 (2023): 3027. http://dx.doi.org/10.3390/rs15123027.

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SSD is a classical single-stage object detection algorithm, which predicts by generating different scales of feature maps on different convolutional layers. However, due to the problems of its insufficient non-linearity and the lack of semantic information in the shallow feature maps, as well as the fact that small objects contain few pixels, the detection accuracy of small objects is significantly worse than that of large- and medium-scale objects. Considering the above problems, we propose a novel object detector, self-attention combined feature fusion-based SSD for small object detection (S

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Livi, Alessandro, Marco Lanzilotto, Monica Maranesi, Leonardo Fogassi, Giacomo Rizzolatti, and Luca Bonini. "Agent-based representations of objects and actions in the monkey pre-supplementary motor area." Proceedings of the National Academy of Sciences 116, no. 7 (2019): 2691–700. http://dx.doi.org/10.1073/pnas.1810890116.

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Information about objects around us is essential for planning actions and for predicting those of others. Here, we studied pre-supplementary motor area F6 neurons with a task in which monkeys viewed and grasped (or refrained from grasping) objects, and then observed a human doing the same task. We found “action-related neurons” encoding selectively monkey’s own action [self-type (ST)], another agent’s action [other-type (OT)], or both [self- and other-type (SOT)]. Interestingly, we found “object-related neurons” exhibiting the same type of selectivity before action onset: Indeed, distinct sets

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Botting, David. "The Twofold Indeterminacy of Intention." KRITERION – Journal of Philosophy 1, no. 26 (2012): 39–55. http://dx.doi.org/10.1515/krt-2012-012605.

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Abstract In this paper I hope to answer the questions "How do we make something an intentional object?" and "What kinds of things can be intentional objects?" My response will be a direct reference theory following Chisholm. Such a theory has as a consequence, I will argue, different types of indeterminacy in our attitudes. This is due to Chisholm's concept of conceptual entailment. I hold that if the self-ascribed attribute conceptually entails another which gives a different intentional object, then the attitude is indeterminate as to which is the actual object or objects, although all such

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Lok, Benjamin, Samir Naik, Mary Whitton, and Frederick P. Brooks. "Effects of Handling Real Objects and Self-Avatar Fidelity on Cognitive Task Performance and Sense of Presence in Virtual Environments." Presence: Teleoperators and Virtual Environments 12, no. 6 (2003): 615–28. http://dx.doi.org/10.1162/105474603322955914.

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Immersive virtual environments (VEs) provide participants with computer-generated environments filled with virtual objects to assist in learning, training, and practicing dangerous and/or expensive tasks. But does having every object being virtual inhibit the interactivity and level of immersion? If participants spend most of their time and cognitive load on learning and adapting to interacting with virtual objects, does this reduce the effectiveness of the VE? We conducted a study that investigated how handling real objects and self-avatar visual fidelity affects performance and sense of pres

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Flanagan, J. Randall, Gerben Rotman, Andreas F. Reichelt, and Roland S. Johansson. "The role of observers' gaze behaviour when watching object manipulation tasks: predicting and evaluating the consequences of action." Philosophical Transactions of the Royal Society B: Biological Sciences 368, no. 1628 (2013): 20130063. http://dx.doi.org/10.1098/rstb.2013.0063.

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When watching an actor manipulate objects, observers, like the actor, naturally direct their gaze to each object as the hand approaches and typically maintain gaze on the object until the hand departs. Here, we probed the function of observers' eye movements, focusing on two possibilities: (i) that observers' gaze behaviour arises from processes involved in the prediction of the target object of the actor's reaching movement and (ii) that this gaze behaviour supports the evaluation of mechanical events that arise from interactions between the actor's hand and objects. Observers watched an acto

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