search

uta-smile / ASSUDA

Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation (ICCV 2021; Oral)
MIT License
12 stars 1 forks source link

Confusion about L_seg for target samples #3

Closed tsunghan-wu closed 2 years ago

tsunghan-wu commented 2 years ago

Dear authors,

Thanks for sharing your excellent works as an ICCV 2021 Oral paper. After reading paper and source code, I'm a bit confused about the L_seg in Equation 7 for target domain samples.

Specifically, according to the provided source code (link), the loss is defined as a conventional segmentation loss requiring target annotations. However, as an unsupervised domain adaptation problem, we are not able to acquire such information. Thus, in my opinion, this loss term should not be used while training.

I would be very grateful if the authors could provide further explanation about this issue. Looking forward to your reply!

Best, Tsung-Han Wu

viyjy commented 2 years ago

Thanks for your interest in our work. They are pseudo labels for the target domain, not the real labels.

tsunghan-wu commented 2 years ago

Sorry for the late reply. Thanks for your kind reminder. I understand it now.