| MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark MMS Contributors | 695 | 2020 |
| Mmbench: Is your multi-modal model an all-around player? Y Liu, H Duan, Y Zhang, B Li, S Zhang, W Zhao, Y Yuan, J Wang, C He, ... arXiv preprint arXiv:2307.06281, 2023 | 243 | 2023 |
| Opencompass: A universal evaluation platform for foundation models OC Contributors GitHub repository, 2023 | 81 | 2023 |
| Contrast and order representations for video self-supervised learning K Hu, J Shao, Y Liu, B Raj, M Savvides, Z Shen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 63 | 2021 |
| Openmmlab’s pre-training toolbox and benchmark M Contributors | 35 | 2023 |
| MMSelfSup: Openmmlab self-supervised learning toolbox and benchmark M Contributors | 34 | 2021 |
| Improving pixel-based mim by reducing wasted modeling capability Y Liu, S Zhang, J Chen, Z Yu, K Chen, D Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 14 | 2023 |
| Pixmim: Rethinking pixel reconstruction in masked image modeling Y Liu, S Zhang, J Chen, K Chen, D Lin arXiv preprint arXiv:2303.02416, 2023 | 12 | 2023 |
| MoQuad: motion-focused quadruple construction for video contrastive learning Y Liu, J Chen, H Wu European Conference on Computer Vision, 20-38, 2022 | 3 | 2022 |
| Rethinking Overlooked Aspects in Vision-Language Models Y Liu, L Tian, X Zhou, J Zhou arXiv preprint arXiv:2405.11850, 2024 | | 2024 |
Dahua LinThe Chinese University of Hong Kong在 ie.cuhk.edu.hk 的电子邮件经过验证
