Comments (5)
This should be reasonable, the baseline mAP = 24.26% may the source model test on the target domain.
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What is the source model, is it mean the model trained on cityscape train set?
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Does it mean run the trainval_net.py and change the line 206 to s_imdb_name to train and test on the target domain?
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The source model, as you said, means the model trained on the cityscape train set, and test on foggy cityscape test set.
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You should run da_trainval_net.py. cityscape with true label is source domain and cityscape-foggy with fake label is target-domain. The final model need to be test on cityscape-foggy.
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Related Issues (20)
- RuntimeError: reduce failed to synchronize: device-side assert triggered HOT 1
- number of test images HOT 4
- Hi~I have a question. Foggy Cityscapes dataset has multiple indexes (0.01, 0.02, 0.005).Which index is used in this paper? HOT 3
- how to run batch_demo.py? HOT 2
- Questions about RPN for target
- hello friend HOT 1
- ModuleNotFoundError: No module named 'lib.model.utils.cython_bbox' HOT 2
- cudaCheckError() failed :
- Cityscape-Foggy cityscape HOT 2
- why target-domain pictures for training also need annotations? HOT 1
- Is there a model that has been trained? HOT 1
- Can you provide the dataset preparation code for convertion of cityscape to VOC format?
- for trained file HOT 1
- The wrong website
- Environment setting
- Train on pascal_voc dataset HOT 1
- The CUDA version of the system does not match the CUDA version of pytorch HOT 1
- What is the difference between proposals and da_proposals in the forward method of box_head.py ?
- ModuleNotFoundError: No module named 'model.utils.cython_bbox'
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