Learning rich feature representation and aggregation for accurate visual tracking

Author:

Yang Yijin,Gu XiaodongORCID

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference69 articles.

1. Marvasti-Zadeh SM, Cheng L, Ghanei-Yakhdan H, Kasaei S (2022) Deep learning for visual tracking: a comprehensive survey. IEEE Trans Intell Transp Syst 23(5):3943–3968

2. Jiao L, Wang D, Bai Y, Chen P, Liu F (2021) Deep learning in visual tracking: a review. IEEE Trans Neural Netw Learn Syst 1–20

3. Javed S, Danelljan M, JKhan FS, Khan MH, Felsberg M, Matas J, (2023) Visual object tracking with discriminative filters and Siamese networks: a survey and outlook. IEEE Trans Pattern Anal Mach Intell 45(5):6552–6574

4. Feng P, Xu C, Zhao Z, Liu F, Guo J, Yuan C, Wang T, Duan K (2018) A deep features based generative model for visual tracking. Neurocomputing 308:245–254

5. Zhao JW, Zhang WD, Cao FL (2018) Robust object tracking using a sparse coadjutant observation model. Multimedia Tools and ApplicationS 77(23):30969–30991

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