Weakly-supervised temporal action localization using multi-branch attention weighting
Author:
Funder
the University Synergy Innovation Program of Anhui Province, China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00530-024-01445-2.pdf
Reference58 articles.
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2. Gao, J., Xu, C.: Learning video moment retrieval without a single annotated video. IEEE Trans. Circuits Syst. Video Technol. 32(3), 1646–1657 (2022). https://doi.org/10.1109/TCSVT.2021.3075470
3. Gao, J., Zhang, T., Xu, C.: Learning to model relationships for zero-shot video classification. IEEE Trans. Pattern Anal. Mach. Intell. 43(10), 3476–3491 (2021). https://doi.org/10.1109/TPAMI.2020.2985708
4. Yao, G., Lei, T., Zhong, J.: A review of convolutional-neural-network-based action recognition. Pattern Recognit. Lett. 118, 14–22 (2019). https://doi.org/10.1016/j.patrec.2018.05.018
5. Xia, K., Wang, L., Zhou, S., Hua, G., Tang, W.: Dual relation network for temporal action localization. Pattern Recognit. (2022). https://doi.org/10.1016/j.patcog.2022.108725
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