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 1–4 of 4 papers

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

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