Results 11 to 20 of about 296,550 (316)
Review of 3D Object Detection for Autonomous Driving [PDF]
Jisuanji kexue, 2023 In recent years,with the rapid development of autonomous driving,3D object detection technology as the core of perception systems has received more and more attention and become a hot research direction.At the same time,the wide application of deep ...
HUO Weile, JING Tao, REN Shuang
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Object Detection: An Overview [PDF]
International Journal of Trend in Scientific Research and Development, 2019 The goal of the project is to run an object detection algorithm on every frame of a video, thus allowing the algorithm to detect all the objects in it, including but not limited to people, vehicles, animals etc. Object recognition and detection play a crucial role in computer vision and automated driving systems. We aim to design a system that does not
P. Rajeshwari +2 more
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Video Sparse Transformer With Attention-Guided Memory for Video Object Detection
IEEE Access, 2022 Detecting objects in a video, known as Video Object Detection (VOD), is challenging since appearance changes of objects over time may bring detection errors.
Masato Fujitake, Akihiro Sugimoto
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The Role of CaMKII Overexpression and Oxidation in Atrial Fibrillation—A Simulation Study
Frontiers in Physiology, 2020 This simulation study aims to investigate how the Calcium/calmodulin-dependent protein kinase II (CaMKII) overexpression and oxidation would influence the cardiac electrophysiological behavior and its arrhythmogenic mechanism in atria. A new-built CaMKII
Wei Wang +8 more
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CoRR, 2021 Deep learning approaches have achieved unprecedented performance in visual recognition tasks such as object detection and pose estimation. However, state-of-the-art models have millions of parameters represented as floats which make them computationally expensive and constrain their deployment on hardware such as mobile phones and IoT nodes.
Gedeon Muhawenayo, Georgia Gkioxari
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3D Object Detection with Pointformer [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Accepted by IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021.
Xuran Pan +4 more
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A Novel Multi-Scale Transformer for Object Detection in Aerial Scenes
Drones, 2022 Deep learning has promoted the research of object detection in aerial scenes. However, most of the existing networks are limited by the large-scale variation of objects and the confusion of category features.
Guanlin Lu +5 more
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Binary histogram based split/merge object detection using FPGAs [PDF]
, 2010 Tracking of objects using colour histograms has proven successful in various visual surveillance systems. Such systems rely heavily on similarity matrices to compare the appearance of targets in successive frames.
Hunter, A +7 more
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CoRR, 2020 Recent advances in object detection have benefited significantly from rapid developments in deep neural networks. However, neural networks suffer from the well-known issue of catastrophic forgetting, which makes continual or lifelong learning problematic.
Wang Zhou +4 more
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Review of Deep Learning Applied to Occluded Object Detection [PDF]
Jisuanji kexue yu tansuo, 2022 Occluded object detection has long been a difficulty and hot topic in the field of computer vision. Based on convolutional neural network, the deep learning takes the object detection task as a classification and regression task to handle, and obtains ...
SUN Fangwei, LI Chengyang, XIE Yongqiang, LI Zhongbo, YANG Caidong, QI Jin
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