SOTAVerified

Unsupervised Instance Segmentation

Papers

Showing 110 of 17 papers

TitleStatusHype
Cut and Learn for Unsupervised Object Detection and Instance SegmentationCode3
Unsupervised Universal Image SegmentationCode2
Part2Object: Hierarchical Unsupervised 3D Instance SegmentationCode1
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy ImagesCode1
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weightingCode1
DETReg: Unsupervised Pretraining with Region Priors for Object DetectionCode1
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut0
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation0
Weakly Supervised Multi-Object Tracking and Segmentation0
A Fully Unsupervised Instance Segmentation Technique for White Blood Cell Images0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CutS3D (DiffNCuts)AP10.2Unverified
2CutLER (Cascade+DINO)AP9.2Unverified
3Self-Training (MAE)AP5.2Unverified
4DETRegAP3.3Unverified
5TokenCutAP2.4Unverified
#ModelMetricClaimedVerifiedStatus
1CutLER (Cascade+DINO)AP10.1Unverified