MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark MMS Contributors | 649 | 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 | 174 | 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 | 61 | 2021 |
Opencompass: A universal evaluation platform for foundation models OC Contributors GitHub repository, 2023 | 59 | 2023 |
MMSelfSup: Openmmlab self-supervised learning toolbox and benchmark M Contributors | 33 | 2021 |
Openmmlab’s pre-training toolbox and benchmark M Contributors | 32 | 2023 |
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 | 12 | 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 | 10 | 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 |