SOTAVerified

Segmentation

Papers

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Showing 1126–1150 of 13072 papers

TitleStatusHype
Superpixel Segmentation: A Long-Lasting Ill-Posed Problem—0
Comparative Study of Probabilistic Atlas and Deep Learning Approaches for Automatic Brain Tissue Segmentation from MRI Using N4 Bias Field Correction and Anisotropic Diffusion Pre-processing TechniquesCode0
SASWISE-UE: Segmentation and Synthesis with Interpretable Scalable Ensembles for Uncertainty Estimation—0
Assessing Foundational Medical 'Segment Anything' (Med-SAM1, Med-SAM2) Deep Learning Models for Left Atrial Segmentation in 3D LGE MRI—0
WavShadow: Wavelet Based Shadow Segmentation and Removal—0
Curriculum Learning for Few-Shot Domain Adaptation in CT-based Airway Tree Segmentation—0
Breaking The Ice: Video Segmentation for Close-Range Ice-Covered Waters—0
ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism—0
A General Pipeline for Glomerulus Whole-Slide Image SegmentationCode0
ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark DatasetCode1
Multi-temporal crack segmentation in concrete structure using deep learning approaches—0
HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion SegmentationCode1
SA3DIP: Segment Any 3D Instance with Potential 3D PriorsCode0
SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision AgricultureCode0
Foundation AI Model for Medical Image Segmentation—0
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression PerspectiveCode1
CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent TransformationCode0
AtlasSeg: Atlas Prior Guided Dual-U-Net for Cortical Segmentation in Fetal Brain MRI—0
Region-Guided Attack on the Segment Anything Model (SAM)—0
Artificial Intelligence-Enhanced Couinaud Segmentation for Precision Liver Cancer Therapy—0
Segment Anything for Dendrites from Electron MicroscopyCode0
3D Audio-Visual Segmentation—0
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks ClusteringCode0
Disentangled PET Lesion Segmentation—0
MSTA3D: Multi-scale Twin-attention for 3D Instance Segmentation—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

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