Results 31 to 40 of about 32,458 (271)
Multiple Object Tracking via Feature Pyramid Siamese Networks
IEEE Access, 2019 When multiple object tracking (MOT) based on the tracking-by-detection paradigm is implemented, the similarity metric between the current detections and existing tracks plays an essential role. Most of the MOT schemes based on a deep neural network learn
Sangyun Lee, Euntai Kim
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Research on few-shot power detection of siamese network based on improved RPN
Journal of Hebei University of Science and Technology, 2023 In order to solve the problems of difficulty, low efficiency, and insufficient data to support large-scale training in existing power system detection methods, a few-shot detection method based on siamese network was proposed.
Jun FENG +4 more
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Comprehensive survey on target tracking based on Siamese network
Journal of Hebei University of Science and Technology, 2022 In recent years,the target tracking algorithm based on Siamese network has attracted much attention because it can achieve a good balance between tracking accuracy and tracking efficiency.Through the intensive study of the literature of target tracking ...
Ming HAN +4 more
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Rotation Equivariant Siamese Networks for Tracking [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Rotation is among the long prevailing, yet still unresolved, hard challenges encountered in visual object tracking. The existing deep learning-based tracking algorithms use regular CNNs that are inherently translation equivariant, but not designed to tackle rotations.
Gupta, D.K., Arya, D., Gavves, E.
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Enhancing Text Similarity Measurement with Hybrid Siamese Neural Networks and Lexical Features [PDF]
Advances in Engineering and Intelligence SystemsAccurately measuring text similarity holds significant importance in various text-centric applications, including text clustering, information retrieval, and question/answer systems.
Bei Zhou
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Diagnostics, 2022 The critical structure and nature of different bone marrow cells which form a base in the diagnosis of haematological ailments requires a high-grade classification which is a very prolonged approach and accounts for human error if performed manually ...
Balasundaram Ananthakrishnan +5 more
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Masked Siamese Networks for Label-Efficient Learning
, 2022 We propose Masked Siamese Networks (MSN), a self-supervised learning framework for learning image representations. Our approach matches the representation of an image view containing randomly masked patches to the representation of the original unmasked image.
Assran, Mahmoud +8 more
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Roof type classification with innovative machine learning approaches [PDF]
PeerJ Computer Science, 2023 Recently, convolutional neural network-based methods have been used extensively for roof type classification on images taken from space. The most important problem with classification processes using these methods is that it requires a large amount of ...
Naim Ölçer, Didem Ölçer, Emre Sümer
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Face Recognition Method Based on Siamese Networks Under Non-Restricted Conditions
IEEE Access, 2022 Face recognition is an important part of computer vision, and has a vital role to play in public safety. Because of the problems of low accuracy and low efficiency in the case of uneven image quality and occlusion due to sudden changes in light in face ...
Cunli Song, Shouyong Ji
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Dense Siamese Network for Dense Unsupervised Learning
, 2022 ECCV2022 camera ...
Wenwei Zhang +3 more
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