Comments (1)
Previous UDA works use different batch size, 1, 2, 4, 8, 9. So, it's hard to set the same bs with all previous works. And we set batch size 4 due to 4 GPUs and do not try other batch sizes. If you want to try other bs, please choose a proper learning rate.
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Related Issues (20)
- Discriminator model
- Missing key(s) when loading the pre-trained simclr model parameters in stage 3 HOT 7
- Training Stage Loss HOT 2
- pretrained/simclr/r101_1x_sk0.pth
- two GPUs HOT 1
- About the function full2weak() and label_strong_T() HOT 5
- source-only pretrained model
- Exact command line of warmup stage HOT 3
- The kl_div loss of self distillation HOT 1
- About the flip Image HOT 1
- About the mIoU metric HOT 1
- Good job! Some questions about the file calc_prototype.py, thanks!
- the training in Synthia - > cityscapes warmup
- Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! HOT 1
- Potential Bug issue
- Which pictures of Cityscapes dataset are use to make _qualitative results of semantic segmentation_? HOT 1
- UMAP visualization
- calc_prototype.py HOT 1
- about settings
- How can I experiment with ProDA for 13classes?
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