Comments (2)
Serge-weihao
commented on September 26, 2024
Could you explain why your code uses validation set of cityscapes for self-training and finally report the testing results on the same set? And did the ECCV paper follow the same process of this repo?
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yzou2
commented on September 26, 2024
Our ECCV paper follows the standard protocol the same as other works, using the labeled GTA5 and unlabeled Cityscapes train set to self-train the network, and test it on Cityscapes val set. We only use a subset. I think I made a mistake when uploaded the val list (The name is a little bit confusing). Sorry about that and thanks for pointing this out. And I uploaded the correct one.
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Related Issues (16)
- VGG16 code HOT 2
- simple_bind error HOT 11
- About the basenet HOT 2
- SYNTHIA-RAND-CITYSCAPES dataset HOT 1
- Prior_array.mat file generation HOT 2
- Save confidence scores of target domain as class-wise vectors HOT 2
- File mine_id.npy and mine_id_priority.npy
- unable to download SYNTHIA-RAND-CITYSCAPES dataset
- Pytorch version? HOT 8
- pretrained file corrupted HOT 4
- About the Results HOT 1
- Training Problem HOT 9
- About label definition of SYNTHIA HOT 1
- About label format of GTA HOT 1
- BDD-V HOT 4
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