SOTAVerified

Zero Shot Segmentation

Papers

Showing 4150 of 134 papers

TitleStatusHype
How to Efficiently Adapt Large Segmentation Model(SAM) to Medical ImagesCode1
Primitive Generation and Semantic-related Alignment for Universal Zero-Shot SegmentationCode1
TomoSAM: a 3D Slicer extension using SAM for tomography segmentationCode1
PaintSeg: Training-free Segmentation via PaintingCode1
One-Prompt to Segment All Medical ImagesCode1
Segment Anything Model for Medical Images?Code1
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical SegmentationCode1
Segment Anything Model for Medical Image Analysis: an Experimental StudyCode1
A Closer Look at the Explainability of Contrastive Language-Image Pre-trainingCode1
ZegOT: Zero-shot Segmentation Through Optimal Transport of Text PromptsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Grounded HQ-SAMMean AP49.6Unverified
2Grounded-SAMMean AP46Unverified
3UNINEXTMean AP42.1Unverified
4HIPIEMean AP41.6Unverified
5SANMean AP41.4Unverified
6odiseMean AP38.7Unverified
7OpenSEEDMean AP36.1Unverified
8OpenSDMean AP35.8Unverified
9SGinW_Team (X-Decoder-L)Mean AP32.2Unverified
10SGinW_Team (X-Decoder-B)Mean AP27.7Unverified
#ModelMetricClaimedVerifiedStatus
1COSMOS ViT-B/16mIoU17.7Unverified
2GEM (MetaCLIP)mIoU17.1Unverified
3GEM (CLIP)mIoU15.7Unverified
4CLIPSurgerymIoU12.9Unverified
5MaskCLIPmIoU10.2Unverified