Papers › Unmasked Teacher: Towards Training-Efficient Video Foundation Models
Unmasked Teacher: Towards Training-Efficient Video Foundation Models
Kunchang Li, Yali Wang, Yizhuo Li, Yi Wang, Yinan He, LiMin Wang, Yu Qiao
Video Foundation Models (VFMs) have received limited exploration due to high computational costs and data scarcity. Previous VFMs rely on Image Foundation Models (IFMs), which face challenges in transferring to the video domain. Although VideoMAE has trained a robust ViT from limited data, its low-level reconstruction poses convergence difficulties and conflicts with high-level cross-modal alignment. This paper proposes a training-efficient method for temporal-sensitive VFMs that integrates the benefits of existing methods. To increase data efficiency, we mask out most of the low-semantics video tokens, but selectively align the unmasked tokens with IFM, which serves as the UnMasked Teacher (UMT). By providing semantic guidance, our method enables faster convergence and multimodal friendliness. With a progressive pre-training framework, our model can handle various tasks including scene-related, temporal-related, and complex video-language understanding. Using only public sources for pre-training in 6 days on 32 A100 GPUs, our scratch-built ViT-L/16 achieves state-of-the-art performances on various video tasks. The code and models will be released at https://github.com/OpenGVLab/unmasked_teacher.
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Code
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Code Syntology ran Syntology
8 samples harvested; 3 ran; 1 honoured the contract we drafted; 5 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Action Classification | Kinetics-400 | Unmasked Teacher (ViT-L) | Acc@1 | 90.6 | #8 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-400 | Unmasked Teacher (ViT-L) | Acc@5 | 98.7 | #8 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-400 | Unmasked Teacher (ViT-L) | FLOPs (G) x views | 1434×3×4 | #8 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-400 | Unmasked Teacher (ViT-L) | Parameters (M) | 304 | #8 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-400 | UMT-L (ViT-L/16) | Acc@1 | 90.6 | #9 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-400 | UMT-L (ViT-L/16) | Acc@5 | 98.7 | #9 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-600 | UMT-L (ViT-L/16) | Top-1 Accuracy | 90.5 | #8 of 65 | Archive leaderboard | report |
| Action Classification | Kinetics-600 | UMT-L (ViT-L/16) | Top-5 Accuracy | 98.8 | #8 of 65 | Archive leaderboard | report |
| Action Classification | Kinetics-700 | UMT-L (ViT-L/16) | Top-1 Accuracy | 83.6 | #5 of 36 | Archive leaderboard | report |
| Action Classification | Kinetics-700 | UMT-L (ViT-L/16) | Top-5 Accuracy | 96.7 | #5 of 36 | Archive leaderboard | report |
| Action Classification | MiT | UMT-L (ViT-L/16) | Top 1 Accuracy | 48.7 | #3 of 29 | Archive leaderboard | report |
| Action Classification | MiT | UMT-L (ViT-L/16) | Top 5 Accuracy | 78.2 | #3 of 29 | Archive leaderboard | report |
| Action Recognition | AVA v2.2 | UMT-L (ViT-L/16) | mAP | 39.8 | #9 of 38 | Archive leaderboard | report |
| Video Question Answering | ActivityNet-QA | UMT-L (ViT-L/16) | Accuracy | 47.9 | #10 of 36 | Archive leaderboard | report |
| Video Retrieval | ActivityNet | UMT-L (ViT-L/16) | text-to-video R@1 | 66.8 | #6 of 31 | Archive leaderboard | report |
| Video Retrieval | ActivityNet | UMT-L (ViT-L/16) | text-to-video R@10 | 94.9 | #6 of 31 | Archive leaderboard | report |
| Video Retrieval | ActivityNet | UMT-L (ViT-L/16) | text-to-video R@5 | 89.1 | #6 of 31 | Archive leaderboard | report |
| Video Retrieval | ActivityNet | UMT-L (ViT-L/16) | video-to-text R@1 | 64.4 | #6 of 31 | Archive leaderboard | report |
| Video Retrieval | ActivityNet | UMT-L (ViT-L/16) | video-to-text R@10 | 94.8 | #6 of 31 | Archive leaderboard | report |
| Video Retrieval | ActivityNet | UMT-L (ViT-L/16) | video-to-text R@5 | 89.1 | #6 of 31 | Archive leaderboard | report |
| Video Retrieval | DiDeMo | UMT-L (ViT-L/16) | text-to-video R@1 | 70.4 | #5 of 40 | Archive leaderboard | report |
| Video Retrieval | DiDeMo | UMT-L (ViT-L/16) | text-to-video R@10 | 93.5 | #5 of 40 | Archive leaderboard | report |
| Video Retrieval | DiDeMo | UMT-L (ViT-L/16) | text-to-video R@5 | 90.1 | #5 of 40 | Archive leaderboard | report |
| Video Retrieval | DiDeMo | UMT-L (ViT-L/16) | video-to-text R@1 | 65.7 | #5 of 40 | Archive leaderboard | report |
| Video Retrieval | DiDeMo | UMT-L (ViT-L/16) | video-to-text R@10 | 93.3 | #5 of 40 | Archive leaderboard | report |
| Video Retrieval | DiDeMo | UMT-L (ViT-L/16) | video-to-text R@5 | 89.6 | #5 of 40 | Archive leaderboard | report |
| Video Retrieval | LSMDC | UMT-L (ViT-L/16) | text-to-video R@1 | 43.0 | #3 of 38 | Archive leaderboard | report |
| Video Retrieval | LSMDC | UMT-L (ViT-L/16) | text-to-video R@10 | 73.0 | #3 of 38 | Archive leaderboard | report |
| Video Retrieval | LSMDC | UMT-L (ViT-L/16) | text-to-video R@5 | 65.5 | #3 of 38 | Archive leaderboard | report |
| Video Retrieval | LSMDC | UMT-L (ViT-L/16) | video-to-text R@1 | 41.4 | #3 of 38 | Archive leaderboard | report |
| Video Retrieval | LSMDC | UMT-L (ViT-L/16) | video-to-text R@10 | 71.5 | #3 of 38 | Archive leaderboard | report |
| Video Retrieval | LSMDC | UMT-L (ViT-L/16) | video-to-text R@5 | 64.3 | #3 of 38 | Archive leaderboard | report |
| Video Retrieval | MSR-VTT | UMT-L (ViT-L/16) | text-to-video R@1 | 58.8 | #5 of 40 | Archive leaderboard | report |
| Video Retrieval | MSR-VTT | UMT-L (ViT-L/16) | text-to-video R@10 | 87.1 | #5 of 40 | Archive leaderboard | report |
| Video Retrieval | MSR-VTT | UMT-L (ViT-L/16) | text-to-video R@5 | 81.0 | #5 of 40 | Archive leaderboard | report |
| Video Retrieval | MSR-VTT | UMT-L (ViT-L/16) | video-to-text R@1 | 58.6 | #5 of 40 | Archive leaderboard | report |
| Video Retrieval | MSR-VTT | UMT-L (ViT-L/16) | video-to-text R@10 | 86.5 | #5 of 40 | Archive leaderboard | report |
| Video Retrieval | MSR-VTT | UMT-L (ViT-L/16) | video-to-text R@5 | 81.6 | #5 of 40 | Archive leaderboard | report |
| Video Retrieval | SSv2-label retrieval | UMT-L (ViT-L/16) | text-to-video R@1 | 73.3 | #1 of 5 | Archive leaderboard | report |
| Video Retrieval | SSv2-label retrieval | UMT-L (ViT-L/16) | text-to-video R@10 | 96.6 | #1 of 5 | Archive leaderboard | report |
| Video Retrieval | SSv2-label retrieval | UMT-L (ViT-L/16) | text-to-video R@5 | 92.7 | #1 of 5 | Archive leaderboard | report |
| Video Retrieval | SSv2-template retrieval | UMT-L (ViT-L/16) | text-to-video R@1 | 90.8 | #1 of 5 | Archive leaderboard | report |
| Video Retrieval | SSv2-template retrieval | UMT-L (ViT-L/16) | text-to-video R@10 | 100.0 | #1 of 5 | Archive leaderboard | report |
| Video Retrieval | SSv2-template retrieval | UMT-L (ViT-L/16) | text-to-video R@5 | 100.0 | #1 of 5 | Archive leaderboard | report |
| Video Retrieval | VATEX | Unmasked Teacher | text-to-video R@1 | 72 | #5 of 13 | Archive leaderboard | report |
| Video Retrieval | VATEX | Unmasked Teacher | text-to-video R@10 | 97.8 | #5 of 13 | Archive leaderboard | report |
| Video Retrieval | VATEX | Unmasked Teacher | text-to-video R@5 | 95.1 | #5 of 13 | Archive leaderboard | report |
| Video Retrieval | VATEX | Unmasked Teacher | video-to-text R@1 | 86.0 | #5 of 13 | Archive leaderboard | report |
| Video Retrieval | VATEX | Unmasked Teacher | video-to-text R@10 | 99.6 | #5 of 13 | Archive leaderboard | report |
| Visual Question Answering (VQA) | MSRVTT-QA | UMT-L (ViT-L/16) | Accuracy | 0.471 | #7 of 34 | Archive leaderboard | report |
| Visual Question Answering (VQA) | MSVD-QA | UMT-L (ViT-L/16) | Accuracy | 0.552 | #13 of 36 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | ActivityNet | UMT-L (ViT-L/16) | text-to-video R@1 | 42.8 | #4 of 12 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | ActivityNet | UMT-L (ViT-L/16) | text-to-video R@10 | 79.8 | #4 of 12 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | ActivityNet | UMT-L (ViT-L/16) | text-to-video R@5 | 69.6 | #4 of 12 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | ActivityNet | UMT-L (ViT-L/16) | video-to-text R@1 | 40.7 | #4 of 12 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | ActivityNet | UMT-L (ViT-L/16) | video-to-text R@10 | 78.6 | #4 of 12 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | ActivityNet | UMT-L (ViT-L/16) | video-to-text R@5 | 67.6 | #4 of 12 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | DiDeMo | UMT-L (ViT-L/16) | text-to-video R@1 | 48.6 | #6 of 26 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | DiDeMo | UMT-L (ViT-L/16) | text-to-video R@10 | 79.0 | #6 of 26 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | DiDeMo | UMT-L (ViT-L/16) | text-to-video R@5 | 72.9 | #6 of 26 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | DiDeMo | UMT-L (ViT-L/16) | video-to-text R@1 | 49.9 | #6 of 26 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | DiDeMo | UMT-L (ViT-L/16) | video-to-text R@10 | 81.4 | #6 of 26 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | DiDeMo | UMT-L (ViT-L/16) | video-to-text R@5 | 74.8 | #6 of 26 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | LSMDC | UMT-L (ViT-L/16) | text-to-video R@1 | 25.2 | #4 of 16 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | LSMDC | UMT-L (ViT-L/16) | text-to-video R@10 | 50.5 | #4 of 16 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | LSMDC | UMT-L (ViT-L/16) | text-to-video R@5 | 43.0 | #4 of 16 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | LSMDC | UMT-L (ViT-L/16) | video-to-text R@1 | 23.2 | #4 of 16 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | LSMDC | UMT-L (ViT-L/16) | video-to-text R@10 | 44.2 | #4 of 16 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | LSMDC | UMT-L (ViT-L/16) | video-to-text R@5 | 37.7 | #4 of 16 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | MSR-VTT | UMT-L (ViT-L/16) | text-to-video R@1 | 42.6 | #11 of 41 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | MSR-VTT | UMT-L (ViT-L/16) | text-to-video R@10 | 73.1 | #11 of 41 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | MSR-VTT | UMT-L (ViT-L/16) | text-to-video R@5 | 64.4 | #11 of 41 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | MSR-VTT | UMT-L (ViT-L/16) | video-to-text R@1 | 38.6 | #11 of 41 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | MSR-VTT | UMT-L (ViT-L/16) | video-to-text R@10 | 69.6 | #11 of 41 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | MSR-VTT | UMT-L (ViT-L/16) | video-to-text R@5 | 59.8 | #11 of 41 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | MSVD | UMT-L (ViT-L/16) | text-to-video R@1 | 49.0 | #7 of 14 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | MSVD | UMT-L (ViT-L/16) | text-to-video R@10 | 84.7 | #7 of 14 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | MSVD | UMT-L (ViT-L/16) | text-to-video R@5 | 76.9 | #7 of 14 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | MSVD | UMT-L (ViT-L/16) | video-to-text R@1 | 74.5 | #7 of 14 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | MSVD | UMT-L (ViT-L/16) | video-to-text R@10 | 92.8 | #7 of 14 | Archive leaderboard | report |
| Zero-Shot Video Retrieval | MSVD | UMT-L (ViT-L/16) | video-to-text R@5 | 89.7 | #7 of 14 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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