Funder
National Natural Science Foundation of China
Reference41 articles.
1. Benaim, S., Ephrat, A., Lang, O., Mosseri, I., Freeman, W.T., Rubinstein, M., …Dekel, T., 2020. Speednet: Learning the speediness in videos. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 9922–9931.
2. Chang, C.Y., Huang, D.A., Sui, Y., Fei-Fei, L., Niebles, J.C., 2019. D3tw: Discriminative differentiable dynamic time warping for weakly supervised action alignment and segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 3546–3555.
3. Chen, T., Kornblith, S., Norouzi, M., Hinton, G., 2020. A simple framework for contrastive learning of visual representations. In: International Conference on Machine Learning. pp. 1597–1607.
4. Chen, M., Wei, F., Li, C., Cai, D., 2022. Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 13801–13810.
5. Dwibedi, D., Aytar, Y., Tompson, J., Sermanet, P., Zisserman, A., 2019. Temporal cycle consistency learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1801–1810.
Cited by
2 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