Weakly-Supervised Temporal Action Alignment Driven by Unbalanced Spectral Fused Gromov-Wasserstein Distance

Author:

Luo Dixin1,Wang Yutong1,Yue Angxiao1,Xu Hongteng2

Affiliation:

1. Beijing Institute of Technology, Beijing, China

2. Renmin University of China & Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference73 articles.

1. Localizing Moments in Video with Natural Language

2. Martin Arjovsky , Soumith Chintala , and Léon Bottou . 2017 . Wasserstein generative adversarial networks . In International conference on machine learning. PMLR, 214--223 . Martin Arjovsky, Soumith Chintala, and Léon Bottou. 2017. Wasserstein generative adversarial networks. In International conference on machine learning. PMLR, 214--223.

3. An Automated Method for Identification of Key frames in Bharatanatyam Dance Videos

4. Weakly Supervised Action Labeling in Videos under Ordering Constraints

5. SPOT

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3. Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification;Journal of Computational and Graphical Statistics;2023-02-15

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