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Segmentation

Papers

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Showing 5001–5025 of 13072 papers

TitleStatusHype
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image SegmentationCode0
3DRef: 3D Dataset and Benchmark for Reflection Detection in RGB and Lidar Data—0
Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentation—0
Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images—0
A Segmentation Foundation Model for Diverse-type Tumors—0
A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma—0
Skeleton Supervised Airway Segmentation—0
Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine—0
ClickVOS: Click Video Object SegmentationCode0
Attention-guided Feature Distillation for Semantic Segmentation—0
From Registration Uncertainty to Segmentation Uncertainty—0
LVIC: Multi-modality segmentation by Lifting Visual Info as Cue—0
Out of the Room: Generalizing Event-Based Dynamic Motion Segmentation for Complex Scenes—0
Continual Segmentation with Disentangled Objectness Learning and Class RecognitionCode0
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation—0
Multi-Grained Cross-modal Alignment for Learning Open-vocabulary Semantic Segmentation from Text Supervision—0
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery—0
Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation—0
AnatoMix: Anatomy-aware Data Augmentation for Multi-organ Segmentation—0
Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic DataCode0
Anatomically Constrained Tractography of the Fetal Brain—0
Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation—0
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation—0
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning—0
Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey—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