Author:
Wang Futian,Wang Wenqi,Liu Lei,Li Chenglong,Tang Jing
Funder
Natural Science Foundation for the Higher Education Institutions of Anhui Province
Hefei Natural Science Foundation
University Synergy Innovation Program of Anhui Province
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Reference49 articles.
1. Zhu Y, Li C, Luo B, Tang J, Wang X (2019) Dense feature aggregation and pruning for rgbt tracking. In: Proceedings of the ACM International conference on multimedia, pp 465–472
2. Gao Y, Li C, Zhu Y, Tang J, He T, Wang F (2019) Deep adaptive fusion network for high performance rgbt tracking. In: Proceedings of the IEEE/CVF International conference on computer vision workshops, pp 0–0
3. Long Li C, Lu A, Hua Zheng A, Tu Z, Tang J (2019) Multi-adapter rgbt tracking. In: Proceedings of the IEEE/CVF International conference on computer vision workshops, pp 0–0
4. Li C, Liu L, Lu A, Ji Q, Tang J (2020) Challenge-aware rgbt tracking. In: European conference on computer vision, pp 222–237
5. Zhang P, Wang D, Lu H, Yang X (2021) Learning adaptive attribute-driven representation for real-time rgb-t tracking. Int J Comput Vis 129(9):2714–2729
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