Research map / Video / Video-language understanding
MSR-VTT: A Large Video Description Dataset for Bridging Video and Language
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add C3D temporal features to VGG-19 frame features (ablation) | SA-LSTM · MSR-VTT-10K | BLEU@4: 37.6 -> 40.5 | Helped |
| add C3D temporal features to VGG-19 frame features (ablation) | SA-LSTM · MSR-VTT-10K | METEOR: 28.9 -> 29.9 | Helped |
| use soft attention instead of mean pooling (ablation) | LSTM with C3D+VGG-19 features · MSR-VTT-10K | BLEU@4: 40.1 -> 40.5 | Helped |
| use soft attention instead of mean pooling (ablation) | LSTM with C3D+VGG-19 features · MSR-VTT-10K | METEOR: 29.5 -> 29.9 | Helped |
| replace VGG-19 with VGG-16 frame features (ablation) | SA-LSTM with C3D features · MSR-VTT-10K | BLEU@4: 40.5 -> 40.3 | Hurt |
| replace VGG-19 with VGG-16 frame features (ablation) | SA-LSTM with C3D features · MSR-VTT-10K | METEOR: 29.9 -> 29.7 | Hurt |
| increase LSTM hidden size from 128 to 512 (ablation) | MP-LSTM with C3D features · MSR-VTT-10K | BLEU@4: 32.5 -> 39.9 | Helped |
| increase LSTM hidden size from 128 to 512 (ablation) | MP-LSTM with C3D features · MSR-VTT-10K | METEOR: 26.6 -> 29.3 | Helped |
| use temporal C3D features instead of VGG-19 frame features (ablation) | MP-LSTM · MSR-VTT-10K | BLEU@4: 37.3 -> 39.9 | Helped |
| use temporal C3D features instead of VGG-19 frame features (ablation) | MP-LSTM · MSR-VTT-10K | METEOR: 28.7 -> 29.3 | Helped |
| use soft attention rather than mean pooling (ablation) | LSTM with VGG-19 features, documentary category · MSR-VTT-10K documentary | METEOR: 34.7 -> 28.2 | Hurt |
| use soft attention rather than mean pooling (ablation) | LSTM with C3D+VGG-19 features, news category · MSR-VTT-10K news | METEOR: 31.2 -> 36.2 | Helped |
Closest papers by meaning
- Vript: A Video Is Worth Thousands of Words (NeurIPS 2024 · similarity 0.90)
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- MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models (CVPR 2025 · similarity 0.89)
- MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding (NeurIPS 2024 · similarity 0.88)
- Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis (CVPR 2025 · similarity 0.88)
- Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding (CVPR 2025 · similarity 0.88)
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