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 48514875 of 5035 papers

TitleStatusHype
A Client-server Deep Federated Learning for Cross-domain Surgical Image SegmentationCode0
Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural NetworksCode0
Fusion Moves for Correlation ClusteringCode0
A Certified Radius-Guided Attack Framework to Image Segmentation ModelsCode0
FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image SegmentationCode0
Fully trainable Gaussian derivative convolutional layerCode0
Referring Image Segmentation via Recurrent Refinement NetworksCode0
Cross-Domain Distribution Alignment for Segmentation of Private Unannotated 3D Medical ImagesCode0
Speeding up Semantic Segmentation for Autonomous DrivingCode0
Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm InfantsCode0
CDRNet: Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography Using Deep LearningCode0
Fully-Trainable Deep MatchingCode0
We Care Each Pixel: Calibrating on Medical Segmentation ModelCode0
Full-Resolution Residual Networks for Semantic Segmentation in Street ScenesCode0
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion ModelsCode0
Cross-dimensional transfer learning in medical image segmentation with deep learningCode0
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial NetworksCode0
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated LearningCode0
Region growing using superpixels with learned shape prior.Code0
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image SegmentationCode0
Crop and Couple: cardiac image segmentation using interlinked specialist networksCode0
Region-of-interest guided Supervoxel Inpainting for Self-supervisionCode0
From Patch to Image Segmentation using Fully Convolutional Networks -- Application to Retinal ImagesCode0
Automatic Report Generation for Histopathology images using pre-trained Vision TransformersCode0
VOILA: Complexity-Aware Universal Segmentation of CT images by Voxel Interacting with LanguageCode0
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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