Self-supervised Video Summarization Guided by Semantic Inverse Optimal Transport
Author:
Affiliation:
1. Beijing Institute of Technology, Beijing, China
2. Renmin University of China, Beijing, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3581783.3612087
Reference78 articles.
1. Gromov-Wasserstein Alignment of Word Embedding Spaces
2. AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization
3. Explaining video summarization based on the focus of attention
4. 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.
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