SOTAVerified

Zero Shot Segmentation

Papers

Showing 4150 of 134 papers

TitleStatusHype
X-Recon: Learning-based Patient-specific High-Resolution CT Reconstruction from Orthogonal X-Ray ImagesCode0
MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture SynthesisCode1
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentationCode2
DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training0
PanSAM: Zero-Shot, Prompt-Free Pancreas Segmentation in CT ImagingCode0
PanopticRecon: Leverage Open-vocabulary Instance Segmentation for Zero-shot Panoptic Reconstruction0
A Simple Framework for Open-Vocabulary Zero-Shot Segmentation0
Boosting Medical Image Classification with Segmentation Foundation Model0
RobustSAM: Segment Anything Robustly on Degraded ImagesCode3
Interpreting the Second-Order Effects of Neurons in CLIP0
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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