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Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition

  • Published:2023-01 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • language:
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Author:

Broome Sofia1,Pokropek Ernest1,Li Boyu1,Kjellstrom Hedvig1

Affiliation:

1. KTH,Sweden

Publisher

IEEE

Reference63 articles.

Cited by 4 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. CTM: Cross-time temporal module for fine-grained action recognition;Computer Vision and Image Understanding;2024-07

2. Graph-based domain adversarial learning framework for video anomaly detection domain generalization;The Journal of Supercomputing;2024-05-25

3. Occluded Skeleton-Based Human Action Recognition with Dual Inhibition Training;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

4. Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
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