Hi, great work!
I was wondering, in the UIAD setting which Table 2 used, the model are trained on all categories in the dataset and tested on each category (the setting UniAD proposed)? or the model are trained on one specific category and tested on the corresponding category (one model for one category)?
Thanks in advance!
The latter, that is, the single-class setting where one model corresponds to one class, which is not the unified setting as discussed in UniAD and ViTAD.
Hi, great work! I was wondering, in the UIAD setting which Table 2 used, the model are trained on all categories in the dataset and tested on each category (the setting UniAD proposed)? or the model are trained on one specific category and tested on the corresponding category (one model for one category)? Thanks in advance!