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Segmentation

Papers

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Showing 3976–4000 of 13072 papers

TitleStatusHype
Superpixel Segmentation: A Long-Lasting Ill-Posed Problem—0
Few-shot Semantic Learning for Robust Multi-Biome 3D Semantic Mapping in Off-Road Environments—0
Image Segmentation from Shadow-Hints using Minimum Spanning Trees—0
WavShadow: Wavelet Based Shadow Segmentation and Removal—0
Curriculum Learning for Few-Shot Domain Adaptation in CT-based Airway Tree Segmentation—0
Assessing Foundational Medical 'Segment Anything' (Med-SAM1, Med-SAM2) Deep Learning Models for Left Atrial Segmentation in 3D LGE MRI—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
A General Pipeline for Glomerulus Whole-Slide Image SegmentationCode0
Multi-temporal crack segmentation in concrete structure using deep learning approaches—0
ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism—0
Breaking The Ice: Video Segmentation for Close-Range Ice-Covered Waters—0
SA3DIP: Segment Any 3D Instance with Potential 3D PriorsCode0
Foundation AI Model for Medical Image Segmentation—0
SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision AgricultureCode0
AtlasSeg: Atlas Prior Guided Dual-U-Net for Cortical Segmentation in Fetal Brain MRI—0
Artificial Intelligence-Enhanced Couinaud Segmentation for Precision Liver Cancer Therapy—0
CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent TransformationCode0
Region-Guided Attack on the Segment Anything Model (SAM)—0
3D Audio-Visual Segmentation—0
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks ClusteringCode0
Disentangled PET Lesion Segmentation—0
Free-Mask: A Novel Paradigm of Integration Between the Segmentation Diffusion Model and Image Editing to Improve Segmentation Ability—0
MBDRes-U-Net: Multi-Scale Lightweight Brain Tumor Segmentation NetworkCode0
Tree level change detection over Ahmedabad city using very high resolution satellite images and Deep Learning—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