Comments (3)
Hi, Yuhang:
- For ResNet-101, hyper-parameters need no change.
- We use ResNet_v1c, where the first 7x7 convolution layer in the initial ResNet is replaced with several smaller convolutions. You could find the pre-trained weights using 'v1c'.
- Maybe the file is not complete after downloading (e.g., unexpected broken). I will also check the remote file.
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Thank you so much! Please check the city.zip since I have downloaded it twice but none of them can be unzipped.
from torchsemiseg.
Hi, I have downloaded the remote file. It is fine.
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Related Issues (20)
- Pseudo labeling question HOT 2
- training with one GPU HOT 4
- About the explaination of Single-network pseudo supervision
- a question about CPC you mentioned in your paper HOT 2
- File-related questions.
- About the cps_weight with different labeled_ratio HOT 1
- Questions related to Cut-Mix. HOT 1
- Questions about CPS loss. HOT 2
- Image present in both labeled and unlabeled splits HOT 2
- Memory and Inf time (fps) for CPS HOT 2
- Question about the batchnorm while trainning HOT 1
- About pretrained weights HOT 1
- How to resume the trained model
- Download the data (VOC, Cityscapes) and pre-trained models from [OneDrive link] is not found HOT 5
- Question about the optimizer HOT 1
- Run Error HOT 2
- Conflicting Issues Upon Installation (Linux): UnsatisfiableError: The following specifications were found to be incompatible with each other
- About init networks and optimizer
- What are the differences between CPS and Co-training?
- FileNotFoundError: [Errno 2] No such file or directory: '/mnt/baode/CNN/TorchSemiSeg-main/exp.voc/voc8.res50v3+.CPS/log/val_2024_08_02_22_38_12.log'
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