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AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization
Evlampios Apostolidis, Eleni Adamantidou, Alexandros I. Metsai, Vasileios Mezaris, Ioannis Patras
This paper presents a new method for unsupervised video summarization. The proposed architecture embeds an Actor-Critic model into a Generative Adversarial Network and formulates the selection of important video fragments (that will be used to form the summary) as a sequence generation task. The Actor and the Critic take part in a game that incrementally leads to the selection of the video key-fragments, and their choices at each step of the game result in a set of rewards from the Discriminator. The designed training workflow allows the Actor and Critic to discover a space of actions and automatically learn a policy for key-fragment selection. Moreover, the introduced criterion for choosing the best model after the training ends, enables the automatic selection of proper values for parameters of the training process that are not learned from the data (such as the regularization factor σ). Experimental evaluation on two benchmark datasets (SumMe and TVSum) demonstrates that the proposed AC-SUM-GAN model performs consistently well and gives SoA results in comparison to unsupervised methods, that are also competitive with respect to supervised methods.
Code
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Tasks
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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Unsupervised Video Summarization | SumMe | AC-SUM-GAN | F1-score | 50.8 | #6 of 10 | Archive leaderboard | report |
| Unsupervised Video Summarization | SumMe | AC-SUM-GAN | Parameters (M) | 26.75 | #6 of 10 | Archive leaderboard | report |
| Unsupervised Video Summarization | SumMe | AC-SUM-GAN | training time (s) | 2825 | #6 of 10 | Archive leaderboard | report |
| Unsupervised Video Summarization | TvSum | AC-SUM-GAN | F1-score | 60.6 | #3 of 8 | Archive leaderboard | report |
| Unsupervised Video Summarization | TvSum | AC-SUM-GAN | Parameters (M) | 26.75 | #3 of 8 | Archive leaderboard | report |
| Unsupervised Video Summarization | TvSum | AC-SUM-GAN | training time (s) | 9380 | #3 of 8 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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