Learning Feature Restoration Transformer for Robust Dehazing Visual Object Tracking
Author:
Funder
National Natural Science Foundation of China
Engineering and Physical Sciences Research Council
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11263-024-02182-9.pdf
Reference59 articles.
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3. Bhat, G., Danelljan, M., Gool, L. V., & Timofte, R. (2019). Learning discriminative model prediction for tracking. In IEEE international conference on computer vision (pp. 6182–6191).
4. Cai, B., Xu, X., Jia, K., et al. (2016). Dehazenet: An end-to-end system for single image haze removal. IEEE Transactions on Image Processing, 25(11), 5187–5198.
5. Cao, Z., Fu, C., Ye, J., Li, B., & Li, Y. (2021). Hift: Hierarchical feature transformer for aerial tracking. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 15457–15466).
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