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code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"

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While Fine-tuning the distilled model, the performance on the VisDA-C dataset drops, the results are as follows: ``` seed=2019: 74.98 --> 74.80 seed=2020: 76.17 --> 75.17 seed=2021: 79.8 --> 78.6....

Dear Teacher Liang Jian, I am not sure when you will release the code for ViT. Your SHOT, BA3US, SHOT++, and DINE code for resnet is excellent, especially since SHOT...

hi, can you open the instruction on office dataset?