SOTAVerified

Unsupervised Panoptic Segmentation

Unsupervised Panoptic Segmentation aims to partition an image into semantically meaningful regions and distinct object instances without training using any manually annotated images. ( Image credit: CUPS, Hahn & Reich et al., CVPR 2025 )

Papers

Showing 14 of 4 papers

TitleStatusHype
Cut and Learn for Unsupervised Object Detection and Instance SegmentationCode3
Scene-Centric Unsupervised Panoptic SegmentationCode2
Unsupervised Universal Image SegmentationCode2
Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and SamplingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CUPS (54 pseudo-classes)PQ30.6Unverified
2CUPS (40 pseudo-classes)PQ30.3Unverified
3CUPS (27 pseudo-classes)PQ27.8Unverified
4U2Seg (827 pseudo-classes)PQ18.4Unverified
5DepthG + CutLERPQ16.1Unverified
#ModelMetricClaimedVerifiedStatus
1CUPS (40 pseudo-classes)PQ21.9Unverified
2CUPS (54 pseudo-classes)PQ21.8Unverified
3CUPS (27 pseudo-classes)PQ19.9Unverified
4U2SegPQ15.8Unverified
#ModelMetricClaimedVerifiedStatus
1CUPS (54 pseudo-classes)PQ28.5Unverified
2CUPS (40 pseudo-classes)PQ28.1Unverified
3CUPS (27 pseudo-classes)PQ25.5Unverified
4U2SegPQ20.6Unverified
#ModelMetricClaimedVerifiedStatus
1CUPS (40 pseudo-classes)PQ28.2Unverified
2CUPS (27 pseudo-classes)PQ24.4Unverified
3CUPS (54 pseudo-classes)PQ22.8Unverified
4U2SegPQ20.3Unverified
#ModelMetricClaimedVerifiedStatus
1CUPS (54 pseudo-classes)PQ27.3Unverified
2CUPS (40 pseudo-classes)PQ27.2Unverified
3CUPS (27 pseudo-classes)PQ26.4Unverified
4U2SegPQ19.8Unverified
#ModelMetricClaimedVerifiedStatus
1U2SegPQ16.1Unverified
2CutLER+STEGOPQ12.4Unverified
3U2SegPQ11.1Unverified