Research map / Video / Video segmentation and tracking
Video Summarization by Learning From Unpaired Data
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add an adversarial objective to the unsupervised SUM-FCN baseline (ablation) | Video summarization with FCSN · SumMe | F-score: 44.8 -> 46.5 | Helped |
| Add a diversity loss to the adversarial model (ablation) | UnpairedVSNadv · SumMe | F-score: 46.5 -> 47.5 | Helped |
| Add an adversarial objective to the unsupervised SUM-FCN baseline (ablation) | Video summarization with FCSN · TVSum | F-score: 53.6 -> 55.3 | Helped |
| Add a diversity loss to the adversarial model (ablation) | UnpairedVSNadv · TVSum | F-score: 55.3 -> 55.6 | Helped |
| Add partial supervision for 10% of training videos (ablation) | UnpairedVSN · SumMe | F-score: 47.5 -> 48.0 | Helped |
| Add partial supervision for 10% of training videos (ablation) | UnpairedVSN · TVSum | F-score: 55.6 -> 56.1 | Helped |
Closest papers by meaning
- Video Summarization Using Denoising Diffusion Probabilistic Model (AAAI 2025 · similarity 0.89)
- Scaling Up Video Summarization Pretraining with Large Language Models (CVPR 2024 · similarity 0.87)
- Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark (AAAI 2025 · similarity 0.87)
- Video Summarization with Large Language Models (CVPR 2025 · similarity 0.86)
- V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning (AAAI 2025 · similarity 0.86)
- MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos (CVPR 2024 · similarity 0.85)
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