SOTAVerified

Segmentation

Papers

Showing 39263950 of 13072 papers

TitleStatusHype
Prototype-Driven and Multi-Expert Integrated Multi-Modal MR Brain Tumor Image SegmentationCode1
Learning to Segment from Noisy Annotations: A Spatial Correction ApproachCode1
FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy ClassificationCode1
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation0
MatSpectNet: Material Segmentation Network with Domain-Aware and Physically-Constrained Hyperspectral ReconstructionCode0
CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph0
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
Cascaded multitask U-Net using topological loss for vessel segmentation and centerline extractionCode1
Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image SegmentationCode1
Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention0
Label Calibration for Semantic Segmentation Under Domain Shift0
Quantized Feature Distillation for Network Quantization0
Gradient-Semantic Compensation for Incremental Semantic Segmentation0
Confidence Intervals for Performance Estimates in Brain MRI Segmentation0
Interactive Segmentation for Diverse Gesture Types Without ContextCode0
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving CarsCode1
Spinal nerve segmentation method and dataset construction in endoscopic surgical scenariosCode0
Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive LearningCode1
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic SegmentationCode1
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation0
ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations0
Two Approaches to Supervised Image Segmentation0
Towards Automated Semantic Segmentation in Mammography Images0
Disentangle then Parse:Night-time Semantic Segmentation with Illumination DisentanglementCode1
MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point CloudsCode1
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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