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Advancing High-Resolution Video-Language Representation With Large-Scale Video Transcriptions
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| pre-train on HD-VILA-100M rather than HowTo100M for the same steps (ablation) | HD-VILA · MSR-VTT retrieval | R@1: 19.6 -> 30.0 | Helped |
| use diversified categories instead of a HowTo-only subset (ablation) | HD-VILA · MSR-VTT zero-shot retrieval | R@1: 3.3 -> 5.5 | Helped |
| use 720p source video rather than downsampled 360p video (ablation) | HD-VILA · MSR-VTT zero-shot retrieval | R@1: 3.9 -> 5.5 | Helped |
| use 720p source frames rather than bicubic-upsampled frames (ablation) | HD-VILA · MSR-VTT zero-shot retrieval | R@1: 4.5 -> 5.5 | Helped |
| combine one high-resolution frame with 10 low-resolution neighboring frames (ablation) | HD-VILA hybrid video encoder · MSR-VTT retrieval | R@1: 16.3 -> 35.6; 26.7 -> 35.6 | Helped |
| use 10 rather than 6 low-resolution frames alongside one high-resolution frame (ablation) | HD-VILA hybrid video encoder · MSR-VTT retrieval | R@1: 33.0 -> 35.6 | Helped |
| increase low-resolution frames from 10 to 14 (ablation) | HD-VILA hybrid video encoder · MSR-VTT retrieval | R@1: 35.6 -> 33.7 | Hurt |
| pre-train on in-domain HowTo100M instead of HD-VILA-100M (ablation) | HD-VILA · YouCook2 retrieval | R@1: 6.6 -> 15.7 | Helped |
| increase HD-VILA-100M pre-training from 145K to 504K steps (ablation) | HD-VILA · YouCook2 retrieval | R@1: 6.6 -> 9.1 | Helped |
| use HD-VILA rather than VideoCLIP | video-language retrieval · MSR-VTT zero-shot | R@1: 10.4 -> 14.6 | Helped |
| use HD-VILA rather than ClipBERT | video-language retrieval · DiDeMo | R@1: 20.4 -> 28.8 | Helped |
| use HD-VILA rather than MMT | video-language retrieval · LSMDC | R@1: 12.9 -> 17.4 | Helped |
Closest papers by meaning
- LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment (ICLR 2024 · similarity 0.91)
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- Distilling Vision-Language Models on Millions of Videos (CVPR 2024 · similarity 0.89)
- InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation (ICLR 2024 · similarity 0.89)
- Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training (CVPR 2025 · similarity 0.88)
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