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IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Shell 7.13% Python 92.87%

self-training gta5 semantic-segmentation cityscapes unsupervised-machine-learning domain-adaptation synthia eccv2020

iast-eccv2020's Introduction

MIC Group

Homepage | Google Scholar | Researchgate

⚡News

We released the code of ProML, and the paper was accepted by IJCAI 2023.
We released the code of PyramidPix2pix, and the paper was accepted by 2022 CVPR workshop.
We released the code of PGDF, which is the new SOTA of image classification with noisy labels.
We released the code of HSA-NRL, and the paper was accepted by IEEE Transactions on Medical Imaging (TMI).
We released the code of HHCL-ReID, which is the new SOTA of unsupervised person re-identification.
We released the code of BALNMP, and the paper was accepted by Frontiers in Oncology.

⭐Ours Repositories

BCI	PGDF	HSA-NRL	HHCL-ReID	BALNMP	LLVIP	Meta Self-Learning	IAST	CAC-UNet

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iast-eccv2020's Issues

Details of Equation 4

Thanks for your code. Why p(c|x, w)/θ is used instead of only p(c|x, w), what`s the role played by θ？ And I can not find the corresponding code in this repo. I am unfamiliar with cross-domain semantic segmentation, so please forgive me if the question is too simple.

the size of GTA5 datasets

As far as I know, the size of the gta5 dataset is 24966. However, there are 24941 image-label pairs. The missing image ids are [ 2154, 2155, 2156, 2157, 2158, 4634, 4635, 4636, 4637, 7115, 7116, 7117, 7118, 7119, 9683, 9684, 9685, 9686, 9687, 9688, 12050, 12051, 12052, 12053, 12054]. Is there any reason? I appreciate any help you can provide.

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