Weakly supervised temporal action localization: a survey
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18554-9.pdf
Reference111 articles.
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3. Chao YW, Vijayanarasimhan S, Seybold B, Ross DA, Deng J, Sukthankar R (2018) Rethinking the faster r-cnn architecture for temporal action localization. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1130–1139
4. Zeng R, Huang W, Tan M, Rong Y, Zhao P, Huang J, Gan C (2019) Graph convolutional networks for temporal action localization. In: Proceedings of the IEEE/CVF international conference on computer vision, pp 7094–7103
5. Long F, Yao T, Qiu Z, Tian X, Luo J, Mei T (2019) Gaussian temporal awareness networks for action localization. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 344–353
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