SOTAVerified

Segmentation

Papers

Showing 7180 of 13072 papers

TitleStatusHype
Segment Anything without SupervisionCode3
Point-SAM: Promptable 3D Segmentation Model for Point CloudsCode3
RobustSAM: Segment Anything Robustly on Degraded ImagesCode3
VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed TomographyCode3
GroundGrid:LiDAR Point Cloud Ground Segmentation and Terrain EstimationCode3
CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic SegmentationCode3
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image SegmentationCode3
Moving Object Segmentation: All You Need Is SAM (and Flow)Code3
SegFormer3D: an Efficient Transformer for 3D Medical Image SegmentationCode3
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything ModelCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8Unverified
2SAMAverage Precision38.9Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69Unverified