CoMatch

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Several Questions

2

Hi, Thank you for your great work, I am new to this area, I have the following questions: 1、How much improvements can be made by the branch of Graph-based contrastive...

myt889

Dear authors, In Eq.10, you build the embedding graph with two strong augmentations, where the off-diagonal values are generated by enhancement 1 only. However, in your code, this is not...

BotMan-Sz

Hi! Have you conducted the qualitative ablation study of the designed components, including smoothed pseudo labels (equation 8), graph-based contrastive learning (equation11) and the memory bank? It seems that you...

Hugo-cell111

Dear Author Thank you for this exciting work! I have a clarification question regarding the experiment setting: Did you use any validation data to tune the hyperparameters for CoMatch? How...

hzhz2020

Dear Authors Your work is exciting! I am trying out your code with the example you provides, python Train_CoMatch.py --n-labeled 40 --seed 1 I am running on one A100 gpu....

hzhz2020

Thank you so much for sharing your work! The model crashed when I tried to port graph-based contrastive loss to other work. It was initially determined that the learning rate...

song-leap