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Spatio-Temporal Graph for Video Captioning With Knowledge Distillation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add object-aware logit distillation instead of using the scene branch alone (ablation) | Two-branch video captioner · MSVD | CIDEr: 86.0 -> 93.0 | Helped |
| fuse branches by feature concatenation instead of logit distillation (ablation) | Two-branch video captioner · MSVD | CIDEr: 79.3 -> 93.0 | Hurt |
| use L2 feature-distance distillation instead of logit distillation (ablation) | Two-branch video captioner · MSVD | CIDEr: 80.3 -> 93.0 | Hurt |
| add temporal graph connections to a spatial graph (ablation) | Spatio-temporal graph captioner · MSVD | CIDEr: 91.8 -> 93.0 | Helped |
| add spatial graph connections to a temporal graph (ablation) | Spatio-temporal graph captioner · MSVD | CIDEr: 92.1 -> 93.0 | Helped |
| use spatial and temporal prior-informed connections instead of uniform dense connections (ablation) | Spatio-temporal graph captioner · MSVD | CIDEr: 91.3 -> 93.0 | Helped |
Closest papers by meaning
- Dense Video Object Captioning from Disjoint Supervision (ICLR 2025 · similarity 0.91)
- Fine-Grained Captioning of Long Videos through Scene Graph Consolidation (ICML 2025 · similarity 0.90)
- LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision (ICLR 2025 · similarity 0.88)
- Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning (CVPR 2025 · similarity 0.87)
- Progress-Aware Video Frame Captioning (CVPR 2025 · similarity 0.87)
- A Closer Look at Dynamic Scene Graph Generation in the Era of Multimodal Large Language Models (NeurIPS 2026 · similarity 0.87)
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