Object discriminability re-extraction for distractor-aware visual object tracking-Reference-Cited by-同舟云学术

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Object discriminability re-extraction for distractor-aware visual object tracking

Published:2024-10 Issue: Volume:247 Page:104075
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Cui Ying,Cheng Qiang,Guo Dongyan^ORCID,Kong Xiangjie,Wang Zhenhua,Zhang Jianhua^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference50 articles.

1. Bertinetto, L., Valmadre, J., Henriques, J., Vedaldi, A., Torr, P., 2016. Fully-convolutional siamese networks for object tracking. In: Eur. Conf. Comput. Vis..

2. Bhat, G., Danelljan, M., Gool, L.V., Timofte, R., 2019. Learning discriminative model prediction for tracking. In: Int. Conf. Comput. Vis.. pp. 6182–6191.

3. Know your surroundings: Exploiting scene information for object tracking;Bhat,2020

4. Chen, X., Yan, B., Zhu, J., Wang, D., Yang, X., Lu, H., 2021. Transformer tracking. In: IEEE Conf. Comput. Vis. Pattern Recog.. pp. 8126–8135.

5. Chen, Z., Zhong, B., Li, G., Zhang, S., Ji, R., 2020. Siamese box adaptive network for visual tracking. In: IEEE Conf. Comput. Vis. Pattern Recog.. pp. 6668–6677.

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