Code for 'Self-Guided and Cross-Guided Learning for Few-shot segmentation. (CVPR' 2021)'

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Deep Learning SCL
Overview

SCL

Introduction

Code for 'Self-Guided and Cross-Guided Learning for Few-shot segmentation. (CVPR' 2021)'

We evaluated our approach using two baselines:

CANet [1] (project is here) and PFENet [2] (project is here).

Many thanks for their public project.

We followed the same setting with them.

You can follow the preparations of these two baselines, or you can find the running details in our documents.

References

[1] Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, and Chunhua Shen. Canet: Class-agnostic segmentation networks with iterative refinement and attentive few-shot learning. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 5217–5226, 2019.

[2] Zhuotao Tian, Hengshuang Zhao, Michelle Shu, Zhicheng Yang, Ruiyu Li, and Jiaya Jia. Prior guided feature enrichment network for few-shot segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.

Comments
  • why did the model of SCL_PFENET trained by myself fail to achievel the performance of the paper? miou just 60.283

    why did the model of SCL_PFENET trained by myself fail to achievel the performance of the paper? miou just 60.283

    I download the paper code and trained the model (SCL PFENET ) for 200 epochs without any change, pytorch version is 1.6.0. But the best Miou is just 60.28

    Long before , I also trained PFENet by myself. And I got the similar results mIoU 61.4~61.6

    opened by TizzyTTT 12
  • I can't get a similar result as in the paper

    I can't get a similar result as in the paper

    First of all, thanks for publishing your source code. However, We tried to train the code without making any changes. Torch==1.9.0 and other environment configurations also meet the requirements. However, after 200 epochs, the best Miou is just 60.88. We use the Pascal-5i dataset, and the backbone is the resnet50 network, split=0. The best result we got was 60.88 instead of 63.0, which is written in the paper. We want to know what caused this result.

    opened by Hx111222 3
  • how to generate SegmentationClassAug？

    how to generate SegmentationClassAug？

    I have downloaded the PASCAL VOC 2012 dataset and SBD dataset from their official website respectively.But I donnot know how to use them in the code .Could you show me your dataset folder structure or the method to generate SegmentationClassAug?

    opened by WHL182 2
  • Evaluation iteration for COCO in 5-shot setting.

    Evaluation iteration for COCO in 5-shot setting.

    Thank you for your great work!

    You set the test_num=3000 (L175 in test_5shot.py) for COCO 5-shot scenario in PFENet, it is different with the original PFENet's setting and the 1-shot scenario, which is 20000. Should I use this setting (3000) or correct it (20000) for fair comparision with your method?

    opened by zhijiew 2
  • crop size in the training set

    crop size in the training set

    Hello. The crop size of the traing images is not mentioned in implementation details. Is it the same as the config file, train_h 473 for PASCAL and 641 for COCO？

    opened by tymatfd 1
  • The download links for the pre-trained model are not available

    The download links for the pre-trained model are not available

    Thank you for your great work!

    I'm checking your codes recently, but I can't download the pre-trained model from your links, it looks like some permission issue, can you check it or use some other service?

    Thanks!

    Xnip2021-06-30_12-27-15

    opened by zhijiew 1
  • PFE_SCL_1 shot_Training

    PFE_SCL_1 shot_Training

    Hello,

    Thank you for your wonderful work. While training your model. I just found this quotation. Can you please elaborate on why we are using the previous map instead of the current features map? Any ablation study?

    image

    opened by Ehteshamciitwah 0
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