Results 11 to 20 of about 4,920,690 (241)
Review of Research on Imbalance Problem in Deep Learning Applied to Object Detection [PDF]
Jisuanji kexue yu tansuo, 2022 The current scheme of manually extracting features for object detection has been replaced by deep learning. Deep learning technology has greatly promoted the development of object detection technology.
REN Ning, FU Yan, WU Yanxia, LIANG Pengju, HAN Xi
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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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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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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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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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Remote Sensing, 2022 In high-resolution earth observation systems, object detection in high spatial resolution remote sensing images (HSRIs) is the key technology for automatic extraction, analysis and understanding of image information.
Zhipeng Dong +5 more
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A Two-Phase Super-Resolution Quantization Scheme Optimized by Sequential Grading and Data Bias Correction [PDF]
Jisuanji gongchengModel quantization technology effectively reduces model storage and computational overhead by mapping high-precision floating-point data to low-bit discrete spaces.
HAO Liang, SU Bohejun, WANG Jinghua, XU Yong
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Probabilistic, Features-Based Object Recognition [PDF]
, 2008 Object recognition is of fundamental importance in computer vision. In a few years, pedestrian detection, car detection, and more generally scene recognition will likely be reliable enough to allow fully-automated car navigation, and the human driver ...
Moreels, Pierre
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Video Object Detection Guided by Object Blur Evaluation
IEEE Access, 2020 In recent years, the excellent image-based object detection algorithms are transferred to the video object detection directly. These frame-by-frame processing methods are suboptimal owing to the degenerate object appearance such as motion blur, defocus ...
Yujie Wu +4 more
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