Adopting Self-Supervised Learning into Unsupervised Video Summarization through Restorative Score.
Author:
Affiliation:
1. Simon Fraser University,School of Engineering Science,Burnaby,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10221937/10221892/10222350.pdf?arnumber=10222350
Reference29 articles.
1. AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization
2. Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks
3. Unsupervised Video Summarization via Attention-Driven Adversarial Learning
4. A Stepwise, Label-based Approach for Improving the Adversarial Training in Unsupervised Video Summarization
5. Learning Hierarchical Self-Attention for Video Summarization
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2. Video summarization network based on Space-Time attention and genetic algorithm optimization;Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy;2024-03
3. Unsupervised Video Summarization Based on the Diffusion Model of Feature Fusion;IEEE Transactions on Computational Social Systems;2024
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