You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi, I'm trying to reproduce your work for VOC->Watercoloc dataset but have several issues.
Q1: Watercolor dataset only has 7 classes (including the background), but VOC has 21 classes. Should I use a 7-class-VOC dataset as the source domain during the training process?
Q2: Could I finetune from the pretrained model that is trained on 21-class-VOC dataset when I uses the 7-class-VOC dataset as the source domain?
The text was updated successfully, but these errors were encountered:
Hi, I'm trying to reproduce your work for VOC->Watercoloc dataset but have several issues.
Q1: Watercolor dataset only has 7 classes (including the background), but VOC has 21 classes. Should I use a 7-class-VOC dataset as the source domain during the training process?
Q2: Could I finetune from the pretrained model that is trained on 21-class-VOC dataset when I uses the 7-class-VOC dataset as the source domain?
The text was updated successfully, but these errors were encountered: