Comments (3)
Hi, we use the crop size 512x512, as illustrated in the paper. We reproduce other methods under the same training setting including the crop size (an example here), so the comparisons are fair. Some papers use the crop size 321x321 but we haven't tried that. I think the experimental phenomenon will be the same (or similar) using different crop sizes.
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Appreciate for your quick response! I'll check it out!
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@revaeb Hello, did you run experiments with 321x321 crop size? Can I get some results about this?
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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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