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frank-xwang avatar frank-xwang commented on September 12, 2024

Hi @VGrondin, I believe that using ViTDet pretrained with CutLER could potentially improve performance for semi-/fully supervised learning. I would be interested to hear about any updates you may have on any observed performance gains. Thank you!

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VGrondin avatar VGrondin commented on September 12, 2024

Hi @frank-xwang, thanks for the information. My interest in CutLER mostly lies in the performance improvement on a custom dataset of forest images. I will let you know how it goes, I prepared the pseudo masks using maskcut with a mae backbone pretrained on 100k forest images (example of pseudo mask generated):
sample0
sample1

Now I am trying to load vitdet config in cutler, but I am having some compatibility issues between the .yaml config and the recent .py config that vitdet uses. I will let you know how it goes once I find a way to resolve this issue.

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