Results 41 to 50 of about 5,338 (265)
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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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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An Anti-UAV Long-Term Tracking Method with Hybrid Attention Mechanism and Hierarchical Discriminator
Sensors, 2022 To prevent unmanned aerial vehicles (UAVs) from threatening public security, anti-UAV object tracking has become a critical issue in industrial and military applications.
Feng Cheng +5 more
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Unsupervised Training of Siamese Networks for Speaker Verification [PDF]
Interspeech 2020, 2020 This work has been developed in the framework of DeepVoice Project (TEC2015-69266-P), funded by Spanish ...
Khan, Umair +1 more
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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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Adaptive Siamese Tracking with a Compact Latent Network
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Accepted at ...
Xingping Dong +4 more
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Co-Inference Discriminative Tracking Through Multi-Task Siamese Network
IEEE Access, 2021 In essence, visual tracking is a matching problem without any prior information about a class-agnostic object. By leveraging large scale off-line training data, recent trackers based on Siamese networks usually expect to pre-learn underlying similarity ...
Yan Chen, Jixiang Du, Bineng Zhong
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Why human connection is the true metric of research success
FEBS Open Bio, EarlyView.Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan +3 more
wiley +1 more source