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Pseudo masks for cross-dataset evaluation #12

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andrehuang opened this issue Aug 17, 2022 · 1 comment
Open

Pseudo masks for cross-dataset evaluation #12

andrehuang opened this issue Aug 17, 2022 · 1 comment

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@andrehuang
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Dear authors,

Thanks for your great work. I have a question about the cross-dataset evaluation setting.
Can you clarify: about the pseudo gt masks you generated for cross-dataset evaluation, are they still on the training dataset, or on the target dataset?
For example, for the COCO->ADE20K experiment, are the pseudo masks on COCO (and all the 80 classes are already used for training?), or on the ADE20K (and when training the Mask RCNN you are essentially training on two datasets) ?
Thanks!!

Best,
Haiwen

@weiyaowang
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Sorry for the late reply!

For the training, we always use COCO. And when we do cross-dataset, we use all 80 classes with Psuedo-GT generated on the COCO images.

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