D$$^{{3}}$$: Duplicate Detection Decontaminator for Multi-Athlete Tracking in Sports Videos-Reference-Cited by-同舟云学术

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D$$^{{3}}$$: Duplicate Detection Decontaminator for Multi-Athlete Tracking in Sports Videos

Published:2023 Issue: Volume: Page:467-484
ISSN:0302-9743
Container-title:Computer Vision – ACCV 2022
language:
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Author:

He Rui^ORCID,Fu Zehua^ORCID,Liu Qingjie^ORCID,Wang Yunhong^ORCID,Chen Xunxun^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-26293-7_28

Reference55 articles.

1. Bergmann, P., Meinhardt, T., Leal-Taixé, L.: Tracking without bells and whistles. In: International Conference on Computer Vision, pp. 941–951 (2019)

2. Bernardin, K., Stiefelhagen, R.: Evaluating multiple object tracking performance: the CLEAR MOT metrics. EURASIP J. Image Video Process. 2008, 246309 (2008)

3. Lecture Notes in Computer Science;L Bertinetto,2016

4. Bewley, A., Ge, Z., Ott, L., Ramos, F.T., Upcroft, B.: Simple online and realtime tracking. In: International Conference on Image Processing, pp. 3464–3468 (2016)

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

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cross-ViT: Cross-attention Vision Transformer for Image Duplicate Detection;2023 8th International Conference on Information Technology Research (ICITR);2023-12-07

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