yuhuayc / da-faster-rcnn

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

yuhuayc/da-faster-rcnn Issues

why target-domain pictures for training also need annotations?
Updated a year ago2
Hi， the missing code GIO_DA
Updated 2 years ago
problem about prepare_data.m
Closed 5 years ago1
Run prepare_data.m error
Updated 3 years ago1
I can't run the prepare_data.m
Updated 3 years ago1
what should I do if I want use 2 or more gpus?
Updated 4 years ago
question about anchor scales
Updated 4 years ago3
Experimental detail
Updated 4 years ago1
Is the consistency regularization exists in train.prototxt?
Closed 5 years ago6
Questions
Updated 4 years ago
Few questions for adaptation strategy.
Updated 4 years ago1
I can't download left8Img_trainvaltest_foggy.zip
Closed 6 years ago5
Is there a tensorflow version about da-faster-rcnn?
Updated 5 years ago
How to download foggy image set?
Closed 6 years ago2
cannot reproduce DA results from Table I in the paper
Closed 5 years ago2
Weight (lambda) value for image level adaptation and hyperparameter request
Updated 5 years ago1
How do you select the ROIS for unlabeled images from target domain ?
Closed 6 years ago1
Is "need_backprop" used in the "GradientSilent" layer?
Updated 6 years ago
Details of source target setting for KITTI to Cityscapes and Cityscapes to KITTI
Closed 6 years ago1
training problem
Closed 6 years ago
propossal_target_layer.py
Closed 6 years ago1
Questions about experiment setting.
Closed 6 years ago1
Code complete?
Closed 6 years ago1
Can you provide a detail readme to start the project?
Closed 6 years ago5
Did you test on the pascal voc dataset?
Closed 6 years ago1
Any dataset related to the paper?
Closed 6 years ago1