Research map / Video / Video-language understanding
Syntax-Aware Action Targeting for Video Captioning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add syntax-aware action targeting with predicate guidance | Baseline video captioner · MSR-VTT test | CIDEr: 46.1 -> 49.1 | Helped |
| Add syntax-aware action targeting | Baseline video captioner · MSVD test | CIDEr: 78.9 -> 81.0 | Helped |
| Train SAAT with reinforcement learning instead of cross-entropy | SAAT · MSR-VTT test | CIDEr: 49.1 -> 51.0 | Helped |
| Guide caption generation with subject, predicate, and object rather than predicate alone (ablation) | SAAT · MSR-VTT test | CIDEr: 49.1 -> 46.1 | Hurt |
| Guide caption generation with subject, predicate, and object rather than predicate alone (ablation) | SAAT · MSR-VTT test | ROUGE L: 60.9 -> 60.4 | Helped |
| Guide caption generation with subject, predicate, and object rather than predicate alone (ablation) | SAAT · MSR-VTT test | predicate accuracy: 60.4 -> 60.5 | No clear effect |
| Add syntax-component guidance (ablation) | Baseline video captioner · MSR-VTT test | ROUGE L: 59.9 -> 60.9 | Helped |
| Add predicate-guided captioning (ablation) | Baseline video captioner · sports scenes | verb accuracy: 63.6 -> 64.5 | Helped |
| Add predicate-guided captioning (ablation) | Baseline video captioner · food scenes | verb accuracy: 50.8 -> 59.5 | Helped |
| Add predicate-guided captioning (ablation) | Baseline video captioner · cooking scenes | verb accuracy: 63.6 -> 69.1 | Helped |
| Use predicate-only SAAT guidance instead of subject-predicate-object guidance (ablation) | SAAT · sports scenes | verb accuracy: 61.4 -> 64.5 | Helped |
| Use predicate-only SAAT guidance instead of subject-predicate-object guidance (ablation) | SAAT · food scenes | verb accuracy: 55.1 -> 59.5 | Helped |
Closest papers by meaning
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- Kronecker Mask and Interpretive Prompts are Language-Action Video Learners (ICLR 2025 · similarity 0.86)
- Dense Video Object Captioning from Disjoint Supervision (ICLR 2025 · similarity 0.86)
- OmniViD: A Generative Framework for Universal Video Understanding (CVPR 2024 · similarity 0.86)
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