rhyssiyan

For the implementation of PSPNet, e.g. ade.pspnet.R101_v1c folder, CrossEntropyLoss is adopted as the criterion for the PSPNet(train.py L49). However, the prediction, which is then fed into the criterion, has been...

Question about ipascal

1

Hi, thanks for your good job. It's a very interesting work. I'm interested in your ipascal experiment. However, I can not found the ipascal experiment details such as the dataset...

Details about results in the paper

1

Hi, thanks for your good job. It's a very interesting work. I want to know more details about Table 2 in your paper. What does the Acc in the table...