Results 41 to 50 of about 29,223 (229)
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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Research on Siamese Object Tracking Algorithm Based on Knowledge Distillation in Marine Environment
IEEE Access, 2023 Siamese networks have gained considerable attention for object tracking due to their balance of speed and accuracy. However, existing Siamese tracking algorithms have been too rigid in their predictions of bounding box tags and lack uncertainty ...
Yihong Zhang +3 more
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, 2018 Designing an end-to-end deep learning network to match the biometric features with limited training samples is an extremely challenging task. To address this problem, we propose a new way to design an end-to-end deep CNN framework i.e., PVSNet that works
Jaswal, Gaurav +3 more
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CoRR, 2018 Capsule Networks have shown encouraging results on \textit{defacto} benchmark computer vision datasets such as MNIST, CIFAR and smallNORB. Although, they are yet to be tested on tasks where (1) the entities detected inherently have more complex internal representations and (2) there are very few instances per class to learn from and (3) where point ...
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, 2018 In this paper a novel cross-device text-independent speaker verification architecture is proposed. Majority of the state-of-the-art deep architectures that are used for speaker verification tasks consider Mel-frequency cepstral coefficients. In contrast,
Dabouei, Ali +5 more
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Re-Identification With Consistent Attentive Siamese Networks [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 10 pages, 8 figures, 3 tables, to appear in CVPR ...
Meng Zheng 0002 +3 more
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Siamese tracking network with multi-attention mechanism
Neural Processing Letters, 2023 Abstract Object trackers based on Siamese networks view tracking as a similarity-matching process. However, the correlation operation operates as a local linear matching process, limiting the tracker's ability to capture the intricate nonlinear relationship between the template and search region branches.
Yuzhuo Xu +4 more
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Stably Adaptive Anti-Occlusion Siamese Region Proposal Network for Real-Time Object Tracking
IEEE Access, 2020 Siamese region proposal network has made remarkable achievements in visual object tracking because of its balanced accuracy and speed. However, it regards tracking as a local one-shot detection task, which lose the power of updating the appearance model ...
Fei Wu, Jianlin Zhang, Zhiyong Xu
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Siamese tracking combing frequency channel attention with adaptive template
IET Communications, 2021 Siamese network based the tracker is a hot topic in the field of visual object tracking. However, Siamese trackers still have a robustness gap compared with state‐of‐the‐art algorithms. Therefore, focusing on the issue, this letter adds Frequency Channel
Haibo Pang +4 more
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