SOTAVerified

Image Segmentation

Image Segmentation is a computer vision task that involves dividing an image into multiple segments or regions, each of which corresponds to a different object or part of an object. The goal of image segmentation is to assign a unique label or category to each pixel in the image, so that pixels with similar attributes are grouped together.

Papers

Showing 46014625 of 5035 papers

TitleStatusHype
Semi-Supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo LabelsCode0
Calibrating Segmentation Networks with Margin-based Label SmoothingCode0
Topology-Preserving Downsampling of Binary ImagesCode0
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentationCode0
Semi-supervised Learning for Aggregated Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector ProductsCode0
PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image SegmentationCode0
Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic ConditionsCode0
Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image SegmentationCode0
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image SegmentationCode0
Immunofluorescence Capillary Imaging Segmentation: Cases StudyCode0
Photi-LakeIce DatasetCode0
Deep learning for Background Replacement in Video ConferencingCode0
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy LabelsCode0
Image Segmentation with Topological PriorsCode0
A Novel Approach for Image Segmentation based on Histograms computed from Hue-dataCode0
Image Segmentation using Sparse Subset SelectionCode0
Abstracted Gaussian Prototypes for One-Shot Concept LearningCode0
TopoMortar: A dataset to evaluate image segmentation methods focused on topology accuracyCode0
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRICode0
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor SegmentationCode0
Semi-supervised Medical Image Segmentation via Query Distribution ConsistencyCode0
Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature SegmentationCode0
Adaptive Active Contour Model for Brain Tumor SegmentationCode0
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92Unverified
2HetNetIoU0.83Unverified
3PMDIoU0.82Unverified
4SANetIoU0.8Unverified
5MirrorNetIoU0.79Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73Unverified
2HetNetIoU0.69Unverified
3SANetIoU0.67Unverified
4PMDIoU0.66Unverified
5MirrorNetIoU0.59Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8Unverified
2MAS-SAMmIoU0.79Unverified
3MASNetmIoU0.74Unverified
4ZoomNetmIoU0.74Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8Unverified
2PPSmIoUPartS58.6Unverified
3HIPIE (ResNet-50)mIoUPartS57.2Unverified
4JPPFmIoUPartS54.4Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74Unverified
2SAM2-UNetmIoU0.74Unverified
3MASNetmIoU0.73Unverified
4ZoomNetmIoU0.73Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6Unverified
2OneNete,4-SmAP0.552.75Unverified
3OneNeted,4mIoU14.9Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98Unverified
2PALEDDice0.98Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67Unverified
2UNetIoU0.57Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97Unverified