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

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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

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

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