Comments (1)
First of all, thank you for your outstanding work. I have a question about the performance of Source-only ++(SHOT++), which is superior than Souce-only (SHOT) with a large margin. But I didn't see the difference with SHOT in the image_source script. Is this performance evaluted after executing "python image_mixmatch.py --ps 0.0 --cls_par 0.0 --model source --gpu_id $1 --s $s --output_tar "ckps/s"$2 --output "ckps/mm"$2 --seed $2 --dset office --max_epoch 100"? Is this trained using target data?
Yes, you are right! Source-only++ utilized the target data via MixMatch, which could be also considered as a black-box UDA method.
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