A PyTorch implementation for paper Unsupervised Domain Adaptation by Backpropagation

deep-learningdomain-adaptationpytorch

You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

Tree: 51b73de342

master

Branches Tags

${ item.name }

Create tag ${ searchTerm }

Create branch ${ searchTerm }

from '51b73de342'

${ noResults }

pytorch-dann-resnet/experiments

History

wogong 51b73de342 add new exp		5 years ago
..
mnist_mnistm.py	rename dann.py to train.py	5 years ago
office.py	rename dann.py to train.py	5 years ago
office31_10.py	change eval step to 1	5 years ago
svhn_mnist.py	add config init function, save to experiment's model root.	5 years ago
syndigits_svhn.py	add syndigits-svhn experiment.	5 years ago
synsigns_gtsrb.py	add bn layer, source only get 60%, while DA get unstable results, maximum 61%, very similar to source only.	5 years ago
synsigns_gtsrb_src_only.py	add new exp	5 years ago