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Thanks for the excellent job！
I have some problems with the train-uncertainty-rectified-pyramid consistency experiment, and the experimental results are poor when I transform the code to my data…
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请问一下，基于bounding boxes的弱监督分割算法最新的论文（Semi-Supervised Semantic Image Segmentation with Self-correcting Networks）有没有？我只找到了18年的还没有代码？谢谢！
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@tmbdev Hi there,
i have [noticed](http://storage.googleapis.com/ocropus4-test/gsub-lseg-test.tar) that you are testing the segmentation of text-lines, you seem to have chosen the classes of:
(x…
mrocr updated
3 years ago
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In your code, when running "Total stage 1: Supervised training on labeled images (SupOnly)", it gets best model by evaluating on validate dataset. I want to know is it fair to use the information prov…
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Thanks for your hard work!
I am new to this question. Can you explain the meaning of splits in generate_splits.py, like setting [2, 4, 8, 20, 29.75] for cityscapes? I only know that it means the ra…
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hi，大家好，非常高兴的告诉大家，百度飞桨论文复现赛第四期已经开始了，本次共将有100篇的经典&前沿论文供大家复现，详细信息可以参考[AI Studio](https://aistudio.baidu.com/aistudio/competition/detail/106)，大家是否已经迫不及待了呢~
**注意：** 本次部分赛题与[人工智能创新应用大赛](https://aistudio.…
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Hi, Xiaokang,
Thanks for sharing so solid work! I noticed that the loss in supervised learning is ohem loss. Have you ever done the experiments for ce loss and how about the result?
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I can't remember where, but there was a recent PR offering cosmetic (e.g. PEP8) fixes, and we usually reject these PRs as causing merge conflicts with existing open PRs. @amueller wanted to know exact…
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First of all, thank you for the AbdomenCT-1K dataset, which really solved the problem of partition generalization I encountered.However, when I downloaded the data, I found that the Mask data did not …
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Hi,
Thanks for maintaining this repository. Appreciate your efforts.
Please add our paper "Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation" that provides a novel way
to l…