lorenmt / reco

The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022].
https://shikun.io/projects/regional-contrast
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test dataset #16

Closed wwjwy closed 2 years ago

wwjwy commented 2 years ago

Hi, In your voc dataset split, I noticed that there are only training and val set. Are there additional test sets to verify model performance after you have completed training 200 epochs? The voc result in Table 1 in the paper is on the validation set or the test set? Thanks!

wwjwy commented 2 years ago

In addition, I print the confmatrixs, but i am confused which is correct as show below. DC93EAC6B62CEA10311DB5E67B63917E the left or the right is the correct confmatrixs? "conf_mat.update(pred.argmax(1).flatten(), test_label.flatten())"

lorenmt commented 2 years ago

All results are reported from validation set averaged across three random seeds. This is the standard in semi-supervised segmentation.

For your second question, it should be the second graph.. but it doesn't really matter as long as you keep consistent with the choice of the dimension.

wwjwy commented 2 years ago

Thanks a lot!