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  1. Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

    Python 99 31

  2. Use python3 to convert depth image into hha image

    Python 53 19

  3. PyTorch Implementation of some RGBD Semantic Segmentation models.

    Python 37 9

  4. Use MATLAB to convert depth image into HHA image. In this repo, I will use NYU Depth V2 dataset as an example.

    MATLAB 29 9

  5. Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch. [1] 3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior (CVPR 2020)

    Python 18 3

  6. Final project of 2018 WebDatamining in PKU, Automatic QA system based on Chinese WIKI. (基于中文wiki的自动问答系统)

    Python 6 4

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Contribution activity

September 2020

Created an issue in ZHKKKe/PixelSSL that received 5 comments

Question about the input size of images during inference time.

Dear author: I have a question about the inference setting. In this section: PixelSSL/task/sseg/data.py Line 102 in 2e85e12 def _val_pr…

5 comments

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