zjy526223908 / BTDA

implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network

BTDA

implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network

Requirements

• python 2.7
• PyTorch 0.4.1
• cuda 8.0
• numpy
• tqdm
• visdom
• PIL
• argparse
• sklearn
• torchvision

download dataset

cd BTDA

bash download_dataset.sh

digit dataset

cd BTDA/Digit

python train.py --source_name mnist --gpu_id 0

office31 dataset

cd BTDA/Office

python alexnet_train.py --dataset_name Office31 --source_name amazon --gpu_id 0

python resnet_train.py --dataset_name Office31 --source_name amazon --gpu_id 0

officeHome dataset

cd BTDA/Office

python alexnet_train.py --dataset_name OfficeHome --source_name A --gpu_id 0

python resnet_train.py --dataset_name OfficeHome --source_name A --gpu_id 0

some result modles

alexnet amazon->webcam,dslr acc:74.6 https://drive.google.com/open?id=1_6KGKGfhNJkOo5j0p154FQKCIavrrrpr

resnet amazon->webcam,dslr acc:90.1 https://drive.google.com/open?id=1UGMjGaaHKQvEAGLGym0R-fQyQIeOkjOa