Efficient Visual Tracking via Hierarchical Cross-Attention Transformer-Reference-Cited by-同舟云学术

Efficient Visual Tracking via Hierarchical Cross-Attention Transformer

Published:2023 Issue: Volume: Page:461-477
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Chen Xin,Kang Ben,Wang Dong,Li Dongdong,Lu Huchuan

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-25085-9_26

Reference46 articles.

1. Bertinetto, L., Valmadre, J., Henriques, J.F., Vedaldi, A., Torr, P.H.S.: Fully-convolutional siamese networks for object tracking. In: ECCVW (2016)

2. Bhat, G., Danelljan, M., Gool, L.V., Timofte, R.: Learning discriminative model prediction for tracking. In: ICCV (2019)

3. Blatter, P., Kanakis, M., Danelljan, M., Van Gool, L.: Efficient visual tracking with exemplar transformers. arXiv preprint arXiv:2112.09686 (2021)

4. Lecture Notes in Computer Science;N Carion,2020

5. Chen, X., Yan, B., Zhu, J., Wang, D., Yang, X., Lu, H.: Transformer tracking. In: CVPR (2021)

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