Research map / Video / Video segmentation and tracking
Discriminative Feature Learning for Unsupervised Video Summarization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add variance loss to the baseline (ablation) | Unsupervised CSNet framework · SumMe, canonical | F-score (%): 40.8 -> 44.9 | Helped |
| Add CSNet to the baseline (ablation) | Unsupervised video summarization · SumMe, canonical | F-score (%): 40.8 -> 42.0 | Helped |
| Add difference attention to the baseline (ablation) | Unsupervised video summarization · SumMe, canonical | F-score (%): 40.8 -> 42.0 | Helped |
| Add difference attention when CSNet and variance loss are present (ablation) | CSNet · SumMe, canonical | F-score (%): 2.2% | Helped |
| Add CSNet when difference attention and variance loss are present (ablation) | Unsupervised video summarization · SumMe, canonical | F-score (%): 4.4% | Helped |
| Add variance loss when CSNet and difference attention are present (ablation) | CSNet · SumMe, canonical | F-score (%): 7.8% | Helped |
| Add binary cross-entropy supervision | CSNet · SumMe, canonical | F-score (%): 51.3 -> 48.6 | Hurt |
| Add binary cross-entropy supervision | CSNet · TVSum, canonical | F-score (%): 58.8 -> 58.5 | Hurt |
Closest papers by meaning
- Unsupervised Video Summarization With Adversarial LSTM Networks (CVPR 2017 · similarity 0.90)
- CSTA: CNN-based Spatiotemporal Attention for Video Summarization (CVPR 2024 · similarity 0.84)
- Video Summarization with Large Language Models (CVPR 2025 · similarity 0.84)
- V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning (AAAI 2025 · similarity 0.84)
- Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding (CVPR 2025 · similarity 0.83)
- Scaling Up Video Summarization Pretraining with Large Language Models (CVPR 2024 · similarity 0.83)
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