MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark MMS Contributors | 790 | 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, ... ECCV2024, 2023 | 370 | 2023 |
Opencompass: A universal evaluation platform for foundation models OC Contributors GitHub repository, 2023 | 127 | 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 | 67 | 2021 |
Openmmlab’s pre-training toolbox and benchmark M Contributors | 40 | 2023 |
MMSelfSup: Openmmlab self-supervised learning toolbox and benchmark M Contributors MMSelfSup: Openmmlab self-supervised learning toolbox and benchmark, 2021 | 36 | 2021 |
Pixmim: Rethinking pixel reconstruction in masked image modeling Y Liu, S Zhang, J Chen, K Chen, D Lin TMLR2024, 2023 | 18 | 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 | 17 | 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 |
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models H Duan, J Yang, Y Qiao, X Fang, L Chen, Y Liu, X Dong, Y Zang, P Zhang, ... ACMMM 2024, 2024 | 1 | 2024 |
POINTS: Improving Your Vision-language Model with Affordable Strategies Y Liu, Z Zhao, Z Zhuang, L Tian, X Zhou, J Zhou arXiv preprint arXiv:2409.04828, 2024 | | 2024 |
Rethinking Overlooked Aspects in Vision-Language Models Y Liu, L Tian, X Zhou, J Zhou arXiv preprint arXiv:2405.11850, 2024 | | 2024 |