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 43764400 of 5035 papers

TitleStatusHype
Segmentation of Roots in Soil with U-NetCode0
NeurReg: Neural Registration and Its Application to Image SegmentationCode0
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentationCode0
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image SegmentationCode0
Large Scale Image Segmentation with Structured Loss based Deep Learning for Connectome ReconstructionCode0
Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement LearningCode0
U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotationsCode0
Nighttime sky/cloud image segmentationCode0
Learning With Context Feedback Loop for Robust Medical Image SegmentationCode0
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary NetworksCode0
Learning to "Segment Anything" in Thermal Infrared Images through Knowledge Distillation with a Large Scale Dataset SATIRCode0
Learning To Pay Attention To MistakesCode0
Learning Shape Representation on Sparse Point Clouds for Volumetric Image SegmentationCode0
Learning Semi-Supervised Medical Image Segmentation from Spatial RegistrationCode0
A deep learning classifier for local ancestry inferenceCode0
Automated Design of Deep Learning Methods for Biomedical Image SegmentationCode0
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image SegmentationCode0
Learning Semantic Segmentation with Query Points Supervision on Aerial ImagesCode0
Learning of Image Dehazing Models for Segmentation TasksCode0
Learning Multimodal Volumetric Features for Large-Scale Neuron TracingCode0
Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast EchocardiographyCode0
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
Domain Generalization via Model-Agnostic Learning of Semantic FeaturesCode0
3D Densely Convolutional Networks for Volumetric SegmentationCode0
Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical 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