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View Code? Open in Web Editor NEW[NeurIPS 2022 Spotlight] Learning Equivariant Segmentation with Instance-Unique Querying
[NeurIPS 2022 Spotlight] Learning Equivariant Segmentation with Instance-Unique Querying
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 、1.x、2.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.
I read your paper, and very appreciated it!
When will you publish the code on Github?
Hello,thank you for your work;
I am following your article Tripartite Feature Enhanced Pyramid Network for Dense Prediction. I want to know the corresponding code, but I can't find it in your home page, could you tell me how to find the corresponding code.
thanks again!
Thanks for your awsome work and releasing the code.
Will you release the implementation on SparseInst?
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