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Littérature scientifique sur le sujet « EfficientDet »

Auteur : Grafiati

Publié le 13 avril 2023

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Articles de revues sur le sujet "EfficientDet"

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Liu, Chao, and Shouying Lin. "Research on Mini-EfficientDet Identification Algorithm Based on Transfer Learning." Journal of Physics: Conference Series 2218, no. 1 (2022): 012039. http://dx.doi.org/10.1088/1742-6596/2218/1/012039.

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Abstract In this research paper, the Chinese beehive culture in Fujian Province, China is used as the carrier, and the Mini-EfficientDet deep neural network after migration is used to identify common species at the hive door, that is, the identification of Chinese bees, wasps and cockroaches in the form of nymphs. In this paper, we define the modified model as Mini-EfficientDet by compressing the initial EfficientDet model and adding the category imbalance function, which makes it focus more on the recognition and classification of small targets while ensuring the recognition accuracy. Through

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Nawaz, Marriam, Tahira Nazir, Ali Javed, et al. "An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization." Sensors 22, no. 2 (2022): 434. http://dx.doi.org/10.3390/s22020434.

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Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening-based treatment can save the patient from complete vision loss. Accurate screening procedures are dependent on the availability of human experts who performs the manual analysis of retinal samples to identify the glaucomatous-affected regions. However, due to complex glaucoma screening procedures and shortage of human resources, we often face delays which can increase the vision loss ratio around the globe. To cope wit

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Ahmed, Syed Sohail, Zahid Mehmood, Imran Ahmad Awan, and Rehan Mehmood Yousaf. "A Novel Technique for Handwritten Digit Recognition Using Deep Learning." Journal of Sensors 2023 (January 30, 2023): 1–15. http://dx.doi.org/10.1155/2023/2753941.

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Handwritten digit recognition (HDR) shows a significant application in the area of information processing. However, correct recognition of such characters from images is a complicated task due to immense variations in the writing style of people. Moreover, the occurrence of several image artifacts like the existence of intensity variations, blurring, and noise complicates this process. In the proposed method, we have tried to overcome the aforementioned limitations by introducing a deep learning- (DL-) based technique, namely, EfficientDet-D4, for numeral categorization. Initially, the input i

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Saleh, Mubarak Auwalu, Zubaida Said Ameen, Chadi Altrjman, and Fadi Al-Turjman. "Computer-Vision-Based Statue Detection with Gaussian Smoothing Filter and EfficientDet." Sustainability 14, no. 18 (2022): 11413. http://dx.doi.org/10.3390/su141811413.

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Smart tourism is a developing industry, and numerous nations are planning to establish smart cities in which technology is employed to make life easier and link nearly everything. Many researchers have created object detectors; however, there is a demand for lightweight versions that can fit into smartphones and other edge devices. The goal of this research is to demonstrate the notion of employing a mobile application that can detect statues efficiently on mobile applications, and also improve the performance of the models by employing the Gaussian Smoothing Filter (GSF). In this study, three

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Wang, Yanfeng, Tao Wang, Xin Zhou, et al. "TransEffiDet: Aircraft Detection and Classification in Aerial Images Based on EfficientDet and Transformer." Computational Intelligence and Neuroscience 2022 (April 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/2262549.

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In recent years, analysis and optimization algorithm based on image data is a research hotspot. Aircraft detection based on aerial images can provide data support for accurately attacking military targets. Although many efforts have been devoted, it is still challenging due to the poor environment, the vastness of the sky background, and so on. This paper proposes an aircraft detection method named TransEffiDet in aerial images based on the EfficientDet method and Transformer module. We improved the EfficientDet algorithm by combining it with the Transformer which models the long-range depende

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Liao, Jianhao, Jiayu Zou, Ao Shen, Jinfu Liu, and Xiaofei Du. "Cigarette end detection based on EfficientDet." Journal of Physics: Conference Series 1748 (January 2021): 062015. http://dx.doi.org/10.1088/1742-6596/1748/6/062015.

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Jia, Jiaqi, Min Fu, Xuefeng Liu, and Bing Zheng. "Underwater Object Detection Based on Improved EfficientDet." Remote Sensing 14, no. 18 (2022): 4487. http://dx.doi.org/10.3390/rs14184487.

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Intelligent detection of marine organism plays an important part in the marine economy, and it is significant to detect marine organisms quickly and accurately in a complex marine environment for the intelligence of marine equipment. The existing object detection models do not work well underwater. This paper improves the structure of EfficientDet detector and proposes the EfficientDet-Revised (EDR), which is a new marine organism object detection model. Specifically, the MBConvBlock is reconstructed by adding the Channel Shuffle module to enable the exchange of information between the channel

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Nawaz, Marriam, Tahira Nazir, Jamel Baili, Muhammad Attique Khan, Ye Jin Kim, and Jae-Hyuk Cha. "CXray-EffDet: Chest Disease Detection and Classification from X-ray Images Using the EfficientDet Model." Diagnostics 13, no. 2 (2023): 248. http://dx.doi.org/10.3390/diagnostics13020248.

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The competence of machine learning approaches to carry out clinical expertise tasks has recently gained a lot of attention, particularly in the field of medical-imaging examination. Among the most frequently used clinical-imaging modalities in the healthcare profession is chest radiography, which calls for prompt reporting of the existence of potential anomalies and illness diagnostics in images. Automated frameworks for the recognition of chest abnormalities employing X-rays are being introduced in health departments. However, the reliable detection and classification of particular illnesses

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Zheng, Xin, Feng Chen, Liming Lou, Pengle Cheng, and Ying Huang. "Real-Time Detection of Full-Scale Forest Fire Smoke Based on Deep Convolution Neural Network." Remote Sensing 14, no. 3 (2022): 536. http://dx.doi.org/10.3390/rs14030536.

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To reduce the loss induced by forest fires, it is very important to detect the forest fire smoke in real time so that early and timely warning can be issued. Machine vision and image processing technology is widely used for detecting forest fire smoke. However, most of the traditional image detection algorithms require manual extraction of image features and, thus, are not real-time. This paper evaluates the effectiveness of using the deep convolutional neural network to detect forest fire smoke in real time. Several target detection deep convolutional neural network algorithms evaluated inclu

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Carmo, Diedre, Israel Campiotti, Lívia Rodrigues, et al. "Rapidly deploying a COVID-19 decision support system in one of the largest Brazilian hospitals." Health Informatics Journal 27, no. 3 (2021): 146045822110330. http://dx.doi.org/10.1177/14604582211033017.

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The COVID-19 pandemic generated research interest in automated models to perform classification and segmentation from medical imaging of COVID-19 patients, However, applications in real-world scenarios are still needed. We describe the development and deployment of COVID-19 decision support and segmentation system. A partnership with a Brazilian radiologist consortium, gave us access to 1000s of labeled computed tomography (CT) and X-ray images from São Paulo Hospitals. The system used EfficientNet and EfficientDet networks, state-of-the-art convolutional neural networks for natural images cla

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Thèses sur le sujet "EfficientDet"

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Michieli, Francesco <1991&gt. "Stimatori campionari non distorti della frontiera efficiente." Master's Degree Thesis, Università Ca' Foscari Venezia, 2014. http://hdl.handle.net/10579/5196.

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La tesi presenta la teoria finanziaria classica di portafoglio e discute della distorsione statistica degli stimatori della frontiera efficiente, verificando (tramite l'analisi di serie storiche con il software statistico "R") nuovi approcci proposti in letteratura.

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Cattai, Francesco <1993&gt. "Analisi sugli stimatori corretti della frontiera efficiente." Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/12562.

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Currà, Pier Nicola. "Alma.Domus: residenza eco-efficiente per Solar Decathlon Europe." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3619/.

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Bovet, Gérôme. "Architecture évolutive et efficiente du Web des bâtiments." Thesis, Paris, ENST, 2015. http://www.theses.fr/2015ENST0033/document.

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Les bâtiments sont de plus en plus équipés avec des réseaux d’automatisation dédiés, visant à réduire la consommation d’énergie ainsi que d’optimiser le confort. D’un autre côté, nous observons l’arrivée de capteurs et actionneurs liés à l’Internet des objets, pouvant naturellement se connecter à des réseaux IP. Dû à des contraintes d’obsolescence ou imposées par les propriétés physiques des bâtiments, il n’est pas rare que différentes technologies doivent cohabiter. Celles-ci fonctionnant avec des modèles et protocoles différents rend le développement de systèmes d’automatisation globaux comp

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Bonelli, Michael. "Gestione Efficiente di Eventi Complessi su Piattaforma IoT ThingWorx." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016.

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Nella prima parte di questa tesi viene introdotto il concetto di Internet of Things. Vengono discussi gli elementi costituitivi fondamentali di tale tecnologia, le differenti architetture proposte nel corso degli anni e le sfide che devono ancora essere affrontate per vedere realizzato l’IoT. Questa prima parte si conclude inoltre con due esempi di applicazione dell’IoT. Questi due esempi, Smart City e Smart Healthcare, hanno l’obbiettivo di evidenziare quali sono i vantaggi ed i servizi che possono essere offerti all’utente finale una volta applicato l’IoT. Nel secondo capitolo invece, ve

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REITANO, RAFFAELLA. "Oro Blu : gestione efficiente della risorsa acqua nell'ambito Mediterraneo." Doctoral thesis, Università IUAV di Venezia, 2013. http://hdl.handle.net/11578/278310.

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Le, Magoarou Luc. "Matrices efficientes pour le traitement du signal et l'apprentissage automatique." Thesis, Rennes, INSA, 2016. http://www.theses.fr/2016ISAR0008/document.

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Les matrices, en tant que représentations des applications linéaires en dimension finie, jouent un rôle central en traitement du signal et des images et en apprentissage automatique. L'application d'une matrice de rang plein à un vecteur implique a priori un nombre d'opérations arithmétiques de l'ordre du nombre d'entrées non-nulles que contient la matrice. Cependant, il existe des matrices pouvant être appliquées bien plus rapidement, cette propriété étant d'ailleurs un des fondements du succès de certaines transformations linéaires, telles que la transformée de Fourier ou la transformée en o

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Grigoli, Francesco. "Studio dei codici, trasmissione e correzione efficiente di un messaggio." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20965/.

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L'elaborato si prefigge di descrivere come avviene la codifica, la decodifica e la correzione di errori in una trasmissione dati, sfruttando l'entropia di Shannon, la codifica di Huffmann e i codici di Hamming.

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D'ORAZIO, ALESSIO. "Tecniche e materiali innovativi per una produzione efficiente ed ecosostenibile." Doctoral thesis, Università Politecnica delle Marche, 2018. http://hdl.handle.net/11566/253167.

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La competitività delle aziende dipende dalla capacità di innovare prodotti e processi, tenendo in conto la gestione sostenibile delle risorse e la riduzione di impatti ambientali e sociali per il miglioramento della qualità della vita. Ciò implica un profondo cambiamento verso sistemi di produzione e di consumo più sostenibili accompagnato da un cambiamento culturale e di stili di vita, ovvero una transizione verso una green economy. L’eco-innovazione è il principale strumento della green economy e, dunque, dello sviluppo sostenibile. In particolare, grazie all’introduzione di una o più tecnol

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Vetrano, Vittorio <1977&gt. "Biomasse e loro quantificazione economica per un efficiente uso dell'energia." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2009. http://amsdottorato.unibo.it/2187/1/Vetrano_Vittorio_tesi.pdf.pdf.

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Biomasses and their possible use as energy resource are of great interest today, and the general problem of energy resources as well. In the present study the key questions of the convenience, from both energy and economy standpoints, have been addressed without any bias: the problem has been handled starting from “philosophical” bases disregarding any pre-settled ideology or political trend, but simply using mathematical approaches as logical tools for defining balances in a right way. In this context quantitative indexes such as LCA and EROEI have been widely used, together with multicriter

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Livres sur le sujet "EfficientDet"

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Hol, A. M. Gewogen recht: Billijkheid en efficientie bij onrechtmatige daad. Kluwer, 1993.

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La société efficiente: Pourquoi fait-il si bon vivre au Canada? Presses de l'Université de Montréal, 2002.

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Orfeo, Maria, ed. La riforma dell'amministrazione e il sistema universitario tra semplificazione e trasparenza. Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-138-6.

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Nel processo di riforma che ormai da anni caratterizza le Pubbliche Amministrazioni, la semplificazione e la trasparenza rappresentano due aspetti innovativi ed importanti per il modello organizzativo delle Università. Una tematica complessa che coinvolge molteplici profili e sollecita la riflessione su questioni ancora aperte, di significativo spessore. I relatori nei loro interventi ne esplorano i diversi aspetti evidenziando le ragioni per proseguire verso un cambiamento complessivo dell'amministrazione finalizzato a rendere la sua azione più efficiente, rapida ed economica.

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Granatstein, J. L. For efficient and effective military forces =: Des forces militaires efficientes et efficaces. Dept. of National Defence = Ministère de la défense nationale, 1997.

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Madagascar. Une bonne gouvernance n'est efficiente sans une intégrité certaine: Le code d'éthique. Repoblikan'i Madagasikara, Autorité de régulation des marchés publics, 2008.

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La solidarietà efficiente: Storia e prospettive del credito cooperativo in Italia : 1883-2000. Laterza, 2002.

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Drouin, Francine. Évaluer pour enseigner: À la découverte d'une pédagogie efficiente auprès de l'élève sourd. Ministère de l'éducation et de la formation de l'Ontario, 1993.

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Ciappei, Cristiano, and Massimiliano Pellegrini, eds. Facility management for global care. Firenze University Press, 2010. http://dx.doi.org/10.36253/978-88-6453-088-8.

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The aim of this work is to bring the study of facility management, that is the management of the services connected with the maintenance and valorisation of real estate, to a higher and more complete level. We have sought to overcome the – albeit inevitable – engineering/efficientist approach, to arrive at an all-round promotion and analysis of the discipline, hinging on the concept of service. This means, first and foremost, rediscovering the relational aspect apropos the clientele and, starting from this, moving towards a restructuring of the service where the aim is to meet personal require

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Una gestione bancaria efficiente: La Cassa di risparmio di Udine dalle origini alla prima guerra mondiale. Forum, 2007.

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1957-, Frattini Franco, Canivet Guy, and Badinter Robert, eds. Pour une justice économique efficiente en Europe: Enjeux et perspectives d'une harmonisation : Colloque du 4 décembre 2007. Bruylant, 2009.

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Chapitres de livres sur le sujet "EfficientDet"

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Xu, Yunhua, Xuejun Wang, and Shuyuan Li. "Track Surface Defect Detection Based on EfficientDet." In Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9909-2_7.

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Deokar, Abhishek, and Mohamed El-Sharkawy. "EfficientNeXt: EfficientNet for Embedded Systems." In Proceedings of Seventh International Congress on Information and Communication Technology. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2394-4_41.

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Koonce, Brett. "EfficientNet." In Convolutional Neural Networks with Swift for Tensorflow. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6168-2_10.

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Mulcahy, Eoghan, Pepijn Van de Ven, and John Nelson. "Aerial Object Detection for Water-Based Search & Rescue." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_27.

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AbstractResponding to a water rescue situation is challenging. First responders need access to data as quickly as possible to increase the likelihood of a successful rescue. Using aerial imagery systems is especially useful in a search and rescue scenario because it provides a higher dimensional view of the search environment. Unmanned aerial vehicles can be easily used to acquire aerial image data. During water-based search and rescue scenarios, first responders sometimes deploy an inflatable marker called a rescue danbuoy. The danbuoy is fitted with a small conical sack known as a drogue, this ensures that the marker is not blown off course by the wind and instead follows the flow of the body of water. Tracking the danbuoy as it moves is of utmost importance in a water rescue. We present a new data-set “VisBuoy” with imagery containing instances of danbuoy markers and boats in real-world water-based settings. We also show how using various deep learning-based computer vision techniques, we can autonomously detect danbuoy instances in aerial imagery. We compare the performance of four state-of-the-art object detectors Faster RCNN Retinanet, Efficientdet and YOLOv5 on the “VisBuoy” data-set, to find the best detector for this task. We then propose a best model with a precision score of 74% which can be used in search and rescue operations to detect inflatable danbuoy markers in water-based settings.

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Upadhyay, Prashant, Bhavya Garg, Anant Tyagi, and Arin Tyagi. "Face Recognition Using EfficientNet." In Proceedings of International Conference on Recent Trends in Computing. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8825-7_58.

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Trinh, Quoc-Huy, Trong-Hieu Nguyen Mau, Radmir Zosimov, and Minh-Van Nguyen. "EfficientNet for Brain-Lesion Classification." In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08999-2_20.

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Hoang, Van-Thanh, Van-Dung Hoang, and Kang-Hyun Jo. "Rethinking Mobile Inverted Bottleneck Convolution for EfficientNet." In Computational Intelligence Methods for Green Technology and Sustainable Development. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19694-2_39.

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Padmashree, G., Shruti G. Wagle, and A. K. Karunakar. "Disguise Face Classification Using EfficientNet Deep Learning." In Human-Centric Smart Computing. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5403-0_26.

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Kadri, Rahma, Mohamed Tmar, and Bassem Bouaziz. "Alzheimer’s Disease Prediction Using EfficientNet and Fastai." In Knowledge Science, Engineering and Management. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82147-0_37.

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Aruleba, Idowu, and Serestina Viriri. "Deep Learning for Age Estimation Using EfficientNet." In Advances in Computational Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85030-2_34.

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Actes de conférences sur le sujet "EfficientDet"

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Ubaid, Muhammad Talha, Amara Kiran, Muhammad Tayyab Raja, Umme Aliza Asim, Abdou Darboe, and Muhammad Asad Arshed. "Automatic Helmet Detection using EfficientDet." In 2021 International Conference on Innovative Computing (ICIC). IEEE, 2021. http://dx.doi.org/10.1109/icic53490.2021.9693093.

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Tan, Mingxing, Ruoming Pang, and Quoc V. Le. "EfficientDet: Scalable and Efficient Object Detection." In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.01079.

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Singh, Ritik, Shubham Shetty, Gaurav Patil, and Pramod J. Bide. "Helmet Detection Using Detectron2 and EfficientDet." In 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2021. http://dx.doi.org/10.1109/icccnt51525.2021.9579953.

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Yang, Zengquan, Han Huang, Fuming Xia, and Zhen Shi. "Smoke Detection Algorithm Based on Improved EfficientDet." In ICDLT 2022: 2022 6th International Conference on Deep Learning Technologies. ACM, 2022. http://dx.doi.org/10.1145/3556677.3556678.

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Fan, Xinlei, Fan Wang, Shuai Pang, Jiaxing Wang, and Wenjing Wang. "Safety helmet wearing detection based on EfficientDet algorithm." In 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), edited by Ligu Zhu. SPIE, 2022. http://dx.doi.org/10.1117/12.2641445.

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Jin, Jintao, Wei Feng, Qujiang Lei, et al. "Defect Detection of Printed Circuit Boards Using EfficientDet." In 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP). IEEE, 2021. http://dx.doi.org/10.1109/icsip52628.2021.9688801.

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Cao, Liangben, Xixin Zhang, Jingyu Pu, Siyuan Xu, Xinlin Cai, and Zhiyong Li. "The Field Wheat Count Based on the Efficientdet Algorithm." In 2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE). IEEE, 2020. http://dx.doi.org/10.1109/iciscae51034.2020.9236918.

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Lin, Kaihao, Junyan Chen, Aoge Chen, and Hu Huang. "Application of the EfficientDet Algorithm in Traffic Flow Statistics." In 2020 16th International Conference on Computational Intelligence and Security (CIS). IEEE, 2020. http://dx.doi.org/10.1109/cis52066.2020.00038.

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Liu, Rui, and Peiyang Wei. "The ChuanbeiMu Herb Identification Based on the EfficientDet Algorithm." In 2021 International Conference on Computer Information Science and Artificial Intelligence (CISAI). IEEE, 2021. http://dx.doi.org/10.1109/cisai54367.2021.00085.

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Srikanth, Anirudh, Aparajith Srinivasan, Haresh Indrajit, and Venkateswaran N. "Contactless Object Identification Algorithm for the Visually Impaired using EfficientDet." In 2021 Sixth International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2021. http://dx.doi.org/10.1109/wispnet51692.2021.9419427.

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Rapports d'organisations sur le sujet "EfficientDet"

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Corlin Christensen, Rasmus, Martin Hearson, and Tovony Randriamanalina. Une tablée plus grande, mais toujours le même menu ? Evaluer l’inclusion des pays en développement dans les négociations fiscales mondiales. Institute of Development Studies, 2020. http://dx.doi.org/10.19088/ictd.2020.006.

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Depuis 2013, la structure officielle de l’organe de décision sur les politiques fiscales mondiales au niveau de l’OCDE a changé. Les décisions ne sont plus prises par les 37 membres de l’OCDE, mais par 137 pays représentant toutes les régions du monde et tous les niveaux de développement à travers le ‘cadre inclusif’. Les documents officiels insistent sur le fait que tous les pays participent sur un pied d’égalité, mais certains participants et observateurs ont souligné que les pays en développement se heurtent à des obstacles d’ordre pratique qui engendrent, dans les faits, une participation

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