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Segmentation

Papers

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Showing 9251–9275 of 13072 papers

TitleStatusHype
Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation—0
A Truly Joint Neural Architecture for Segmentation and Parsing—0
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation—0
Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning—0
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation—0
Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation—0
Atrous Space Bender U-Net (ASBU-Net/LogiNet)—0
Few-shot Medical Image Segmentation with Cycle-resemblance Attention—0
Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT Images—0
Few-Shot Medical Image Segmentation with Large Kernel Attention—0
A Trio-Method for Retinal Vessel Segmentation using Image Processing—0
MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning—0
A Trie-Structured Bayesian Model for Unsupervised Morphological Segmentation—0
A Tri-attention Fusion Guided Multi-modal Segmentation Network—0
Few-shot pixel-precise document layout segmentation via dynamic instance generation and local thresholding—0
Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention—0
Multi-temporal crack segmentation in concrete structure using deep learning approaches—0
Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans—0
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation—0
AASeg: Attention Aware Network for Real Time Semantic Segmentation—0
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs—0
Few-Shot Segmentation via Rich Prototype Generation and Recurrent Prediction Enhancement—0
Multi-utility Learning: Structured-output Learning with Multiple Annotation-specific Loss Functions—0
Few-shot Segmentation with Optimal Transport Matching and Message Flow—0
Few-shot Semantic Learning for Robust Multi-Biome 3D Semantic Mapping in Off-Road Environments—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