Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation

Related tags

Deep Learning deep-learning pytorch segmentation weakly-supervised-learning
Overview

Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation

Alt

The code of: Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation, Weide Liu, Xiangfei Kong, Tzu-Yi Hung, Guosheng Lin, [Paper]

Citation

If you find the code useful, please consider citing our paper using the following BibTeX entry.

@article{liu2021cross,
  title={Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation},
  author={Liu, Weide and Kong, Xiangfei and Hung, Tzu-Yi and Lin, Guosheng},
  journal={arXiv preprint arXiv:2108.07413},
  year={2021}
}

Prerequisite

  • Python 3.7, PyTorch 1.1.0, and more in requirements.txt
  • PASCAL VOC 2012 devkit and COCO 2014
  • NVIDIA GPU with more than 1024MB of memory

Usage

Install python dependencies

pip install -r requirements.txt

Download PASCAL VOC 2012 devkit

Download COCO 2014 devkit

Run run_sample.py or make your own script

python run_sample.py
  • You can either mannually edit the file, or specify commandline arguments.

Train DeepLab with the generated pseudo labels

Related Repositories

This project is build based on IRN: https://github.com/jiwoon-ahn/irn. Many thanks to their greak work!

TO DO

  • Training code for MS-COCO
  • Code refactoring
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Comments
  • How to fix this error?

    How to fix this error?

    When I run this program, the following error occurs.

    File "xxxx/net/resnet50_cam.py", line 106, in cal_cos_vector area = F.avg_pool2d(mask, x.shape[-2:]) * h * w + 0.0005 RuntimeError: _thnn_avg_pool2d_forward not supported on CUDAType for Byte

    opened by jingtingxu369 2
  • Hyper-parameters for ResNet-50

    Hyper-parameters for ResNet-50

    Hi authors,

    Do you use the same parameters for ResNet-50? When I run the code with ResNet-50, I got the following results:

    {'iou': array([0.71786668, 0.32337534, 0.22839967, 0.37651976, 0.28739013,
    0.45902408, 0.62007131, 0.48607532, 0.60152633, 0.28056315,
    0.50565703, 0.53805612, 0.53191146, 0.53455538, 0.54745629,
    0.49557657, 0.41466069, 0.51863075, 0.45559653, 0.46711257,
    0.44537695]), 'miou': 0.46835248169777155}

    It is even worse than baseline (0.483).

    opened by zhaozhengChen 1
Owner
LiuWeide
LiuWeide
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