A new unsupervised instance segmentation framework using MultiCut on self-supervised features, a superpixel-guided mask loss, and adaptive self-training reports SOTA results on COCO, VOC, UVO, KITTI, and SSDD.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Unsupervised Instance Segmentation with Superpixels
A new unsupervised instance segmentation framework using MultiCut on self-supervised features, a superpixel-guided mask loss, and adaptive self-training reports SOTA results on COCO, VOC, UVO, KITTI, and SSDD.