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Dear author,
I have read your paper and very admire your work. The proposal of CCAM is likely to become a new popular technique for self-supervised object localization, just like CAM in WSOL area.
However, I am curious about that have you ever tested your method on large scale dataset, for example ILSVRC ? Since ILSVRC is a popular dataset in WSOL and you compare several WSOL methods in your paper too. Or, do SSOL methods cant handle the large scale dataset for lacking annotations?
The text was updated successfully, but these errors were encountered:
Well, we aimed to solve the "co-localization" problem that assumes the dataset contains the images having the same super-category (e.g. bird), therefore, we did not test our model on the large scale DB.
Because of the purpose, PsyNet might not be proper for ImageNet.
Dear author,
I have read your paper and very admire your work. The proposal of CCAM is likely to become a new popular technique for self-supervised object localization, just like CAM in WSOL area.
However, I am curious about that have you ever tested your method on large scale dataset, for example ILSVRC ? Since ILSVRC is a popular dataset in WSOL and you compare several WSOL methods in your paper too. Or, do SSOL methods cant handle the large scale dataset for lacking annotations?
The text was updated successfully, but these errors were encountered: