Unsupervised Video Summarization On Summe
Metrics
F1-score
Parameters (M)
training time (s)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | F1-score | Parameters (M) | training time (s) |
|---|---|---|---|
| discriminative-feature-learning-for | 51.3 | 100.76 | 568.6 |
| ac-sum-gan-connecting-actor-critic-and | 50.8 | 26.75 | 2825 |
| integrate-the-temporal-scheme-for | 54 | 5.25 | - |
| a-stepwise-label-based-approach-for-improving | 47.8 | 23.31 | 1185 |
| summarizing-videos-using-concentrated | 51.1 | 5.25 | 24 |
| cluster-based-video-summarization-with | 54.48 | - | - |
| unsupervised-video-summarization-via | 48.9 | 24.31 | 1639 |
| cycle-sum-cycle-consistent-adversarial-lstm | 41.9 | - | - |
| deep-reinforcement-learning-for-unsupervised | 41.4 | 2.63 | 19.8 |
| adopting-self-supervised-learning-into-1 | 52.0 | - | - |