[MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"
License: MIT License
๐ซ Reach me at [email protected]
๐ฆ Twtitter @cliangyu_
I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial Intelligence Conference in Shanghai. We invite you to upgrade your algorithm library to OpenMMLab 2.0 using MMEngine, which can be used for both research and commercial purposes. If you have any questions, please feel free to join us on the OpenMMLab Discord at https://discord.gg/A9dCpjHPfE or add me on WeChat (ID: van-sin) and I will invite you to the OpenMMLab WeChat group.
Here are the OpenMMLab 2.0 repos branches:
| OpenMMLab 1.0 branch | OpenMMLab 2.0 branch | |
|---|---|---|
| MMEngine | 0.x | |
| MMCV | 1.x | 2.x |
| MMDetection | 0.x ใ1.xใ2.x | 3.x |
| MMAction2 | 0.x | 1.x |
| MMClassification | 0.x | 1.x |
| MMSegmentation | 0.x | 1.x |
| MMDetection3D | 0.x | 1.x |
| MMEditing | 0.x | 1.x |
| MMPose | 0.x | 1.x |
| MMDeploy | 0.x | 1.x |
| MMTracking | 0.x | 1.x |
| MMOCR | 0.x | 1.x |
| MMRazor | 0.x | 1.x |
| MMSelfSup | 0.x | 1.x |
| MMRotate | 1.x | 1.x |
| MMYOLO | 0.x |
Attention: please create a new virtual environment for OpenMMLab 2.0.
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