Jun 1, 2023 · We propose an approach to enhance the quality of the learned deep features through the incorporation of an attention mechanism.
To verify the effectiveness of. SiamATTRPN, experiments on benchmark datasets demonstrate that our proposed tracker outperforms the baseline tracker.
A new tracking method with channel and spatial attention termed SiamATTRPN is explored and it is observed that this approach to enhance the quality of the ...
Enhance Visual Tracking With Channel and Spatial Attention
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To address this limitation, we propose an approach to enhance the quality of the learned deep features through the incorporation of an attention mechanism.
Cai H. et al. SiamATTRPN: Enhance Visual Tracking With Channel and Spatial Attention // IEEE Transactions on Computational Social Systems. 2024. Vol. 11. No. 2.
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As a result, a new tracking method with channel and spatial attention termed SiamATTRPN is explored. To verify the effectiveness of SiamATTRPN, experiments on ...
SiamATTRPN: Enhance Visual Tracking With Channel and Spatial Attention. IEEE ... Time-Wise Attention Aided Convolutional Neural Network for Data-Driven ...
We propose a Siamese visual tracker with spatial-channel attention and a ranking head network. Firstly, we propose a Spatial Channel Attention Module.
Missing: SiamATTRPN: | Show results with:SiamATTRPN:
SiamATTRPN: Enhance Visual Tracking With Channel and Spatial Attention · Computer Science. IEEE Transactions on Computational Social Systems · 2024.
SiamATTRPN: Enhance Visual Tracking With Channel and Spatial Attention. Huayue Cai, Xiang Zhang, L. Lan, Liyang Xu, Wenxin Shen, Junyang Chen, Victor C. M. ...