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Pytorch version of Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

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python3 pseudo_label.py --root ./dataset/clipart --data_folder ./json/clipart/ --result ./dataset/clipart_dt_pl/ --gpu 7 --checkpoint result/clipart_dt.pth.tar 

python3 eval.py --data_folder ./json/clipart/ --checkpoint result/clipart.tar --gpu 7 

python3 train.py --data_folder ./json/clipart_dt_pl/ --checkpoint result/clipart_dt.pth.tar --gpu 5 --iteration 20000 --result result/clipart_dt_pl 
clipart watercolor comic
baseline 28.5 50.1 23.1
ideal case 53.3 59.1 44.7
DT 35.8 46.3 29.3
DT + PL 45.1 56.9 39.7
P_DT 37.1 49.4 29.9
P_DT + PL 45.7 57.6 39.9

P_DT implies joint training with PASCAL VOC dataset

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Pytorch version of Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

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