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@Res2Net @mims-harvard @ShangHua-Gao @LUSSeg

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gasvn/README.md

Shanghua Gao, a researcher working on computer vision and representation learning. I am a great fan of open source, as it makes research work valuable for many people.

Some of open source projects that I've been working on/contributing to:

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  1. Res2Net/Res2Net-PretrainedModels Res2Net/Res2Net-PretrainedModels Public

    (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

    Python 1.1k 215

  2. sail-sg/EditAnything sail-sg/EditAnything Public

    Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc. (ACM MM)

    Python 3.3k 194

  3. sail-sg/MDT sail-sg/MDT Public

    Masked Diffusion Transformer is the SOTA for image synthesis. (ICCV 2023)

    Python 531 40

  4. mims-harvard/UniTS mims-harvard/UniTS Public

    A unified multi-task time series model.

    Python 470 63

  5. ShangHua-Gao/SOD100K ShangHua-Gao/SOD100K Public

    The official repo of the TPAMI 2021/ECCV 2020 work CSNet: A Highly Efficient Model with 100K Parameters to Study the Semantics of Salient Object Detection

    Python 240 47

  6. LUSSeg/ImageNet-S LUSSeg/ImageNet-S Public

    (TPAMI2022) The ImageNet-S benchmark/method for large-scale unsupervised/semi-supervised semantic segmentation.

    Python 170 11