KaihuaTang / Long-Tailed-Recognition.pytorch

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

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Welcome update to OpenMMLab 2.0

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Welcome update to OpenMMLab 2.0

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/amFNsyUBvm or add me on WeChat (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.