SOTAVerified

Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3751–3775 of 13072 papers

TitleStatusHype
ResQ: Residual Quantization for Video Perception—0
Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery—0
Metadata Improves Segmentation Through Multitasking ElicitationCode0
Can ultrasound confidence maps predict sonographers' labeling variability?Code0
Learning to In-paint: Domain Adaptive Shape Completion for 3D Organ Segmentation—0
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image SegmentationCode0
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle RepresentationCode0
SurgicalSAM: Efficient Class Promptable Surgical Instrument SegmentationCode1
Globe230k: A Benchmark Dense-Pixel Annotation Dataset for Global Land Cover Mapping—0
Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks—0
Denoising Diffusion Probabilistic Model for Retinal Image Generation and SegmentationCode1
MEDOE: A Multi-Expert Decoder and Output Ensemble Framework for Long-tailed Semantic Segmentation—0
ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions—0
MeViS: A Large-scale Benchmark for Video Segmentation with Motion ExpressionsCode2
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation—0
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation—0
GAEI-UNet: Global Attention and Elastic Interaction U-Net for Vessel Image Segmentation—0
A deep deformable residual learning network for SAR images segmentation—0
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationCode0
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond—0
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language ModelsCode1
Self-Prompting Large Vision Models for Few-Shot Medical Image SegmentationCode1
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic SegmentationCode0
Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation—0
DeepMAO: Deep Multi-scale Aware Overcomplete Network for Building Segmentation in Satellite ImageryCode1
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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