Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"
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How to deal with the useless masks generated in MaskCut #31
Hi, thanks for the great work and open-sourcing the code!
It was confirmed that when entering a larger number of --N than the number of objects in the demo image, some blank masks or some misdetected masks were generated.
In general, the number of objects present in a single image is not all the same.
In this case, how did you deal with the masks generated?
csoham96
commented
8 months ago
Hi, thanks for the great work and open-sourcing the code!
It was confirmed that when entering a larger number of --N than the number of objects in the demo image, some blank masks or some misdetected masks were generated.
In general, the number of objects present in a single image is not all the same.
In this case, how did you deal with the masks generated?