SOTAVerified

Segmentation

Papers

Showing 16511675 of 13072 papers

TitleStatusHype
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT ImagesCode1
One-Shot Synthesis of Images and Segmentation MasksCode1
Rethinking the Unpretentious U-net for Medical Ultrasound Image SegmentationCode1
HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp SegmentationCode1
DOMINO: Domain-aware Model Calibration in Medical Image SegmentationCode1
PointScatter: Point Set Representation for Tubular Structure ExtractionCode1
Segmenting Known Objects and Unseen Unknowns without Prior KnowledgeCode1
TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival PredictionCode1
Retinal Image Restoration and Vessel Segmentation using Modified Cycle-CBAM and CBAM-UNetCode1
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center StudyCode1
MMFlood: A Multimodal Dataset for Flood Delineation From Satellite ImageryCode1
Self-Supervised Pretraining for 2D Medical Image SegmentationCode1
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology imagesCode1
SemSegDepth: A Combined Model for Semantic Segmentation and Depth CompletionCode1
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor SegmentationCode1
Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual CitiesCode1
Boundary-Aware Network for Abdominal Multi-Organ SegmentationCode1
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis DiagnosisCode1
Boundary-Aware Network for Kidney ParsingCode1
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic SegmentationCode1
Arbitrary Shape Text Detection via Segmentation with Probability MapsCode1
Refine and Represent: Region-to-Object Representation LearningCode1
Applying Eigencontours to PolarMask-Based Instance SegmentationCode1
Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic SegmentationCode1
Deep 3D Vessel Segmentation based on Cross Transformer NetworkCode1
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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