Comments (1)
Hi, thanks for the questions.
An example is provided in the repo for foggy dataset. Yes, we take cityscape training dataset as source and take foggy validation dataset as target, and the quantitative result is computed on foggy validation dataset.
Not sure what's exactly the question. But cityscapes dataset do has instance label, and we use the instance label for detection.
Please let me know if there is something unclear.
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Related Issues (20)
- How to download foggy image set? HOT 2
- How do you select the ROIS for unlabeled images from target domain ? HOT 1
- Details of source target setting for KITTI to Cityscapes and Cityscapes to KITTI HOT 1
- I can't download left8Img_trainvaltest_foggy.zip HOT 5
- I can't run the prepare_data.m HOT 1
- Is "need_backprop" used in the "GradientSilent" layer?
- cannot reproduce DA results from Table I in the paper HOT 2
- Weight (lambda) value for image level adaptation and hyperparameter request HOT 1
- problem about prepare_data.m HOT 1
- question about anchor scales HOT 3
- Is there a tensorflow version about da-faster-rcnn?
- Few questions for adaptation strategy. HOT 1
- Run prepare_data.m error HOT 1
- Questions
- Experimental detail HOT 1
- what should I do if I want use 2 or more gpus?
- why target-domain pictures for training also need annotations? HOT 2
- Hi, the missing code GIO_DA
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