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Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation

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Thank you for open sourcing your paper! The results presented in the paper are extremely compelling. I have some questions and requests: 1. do you plan to release all of...

Hi! About the Table 1 in your paper I have two questions: (1) What's the meaning of "introduce the unlabeled dataset with a total of 10582 images" in the notion...

How do I change my own data set? Do I just need to change the number of categories and the routing of the data set j? This calculates the IOUs...

# Welcome update to OpenMMLab 2.0 I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial...

# Patching CVE-2007-4559 Hi, we are security researchers from the Advanced Research Center at [Trellix](https://www.trellix.com). We have began a campaign to patch a widespread bug named CVE-2007-4559. CVE-2007-4559 is a...

![image](https://user-images.githubusercontent.com/56622945/193735974-3640058c-e9c2-45ec-8bb0-c63792c838b7.png) in "config/semi_ablations/cps_meanteacher_3b_w1.5_w.1.0_FDmt1.5.py" you set annotation of train_unsup as 'SegmentationClassAug'. What is mean about 'SegmentationClassAug? As I know, in semi-supervised learning, actually don't use annotation of unlabeled data.