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 36513675 of 5035 papers

TitleStatusHype
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation0
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation0
Cross-Organ Domain Adaptive Neural Network for Pancreatic Endoscopic Ultrasound Image Segmentation0
Cross Pixel Optical Flow Similarity for Self-Supervised Learning0
Few-shot Medical Image Segmentation via Cross-Reference Transformer0
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation0
Crowd Sourcing Image Segmentation with iaSTAPLE0
CT Image Segmentation for Inflamed and Fibrotic Lungs Using a Multi-Resolution Convolutional Neural Network0
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis0
CTI-Unet: Cascaded Threshold Integration for Improved U-Net Segmentation of Pathology Images0
CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss0
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation0
CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis0
Cubic Spline Interpolation Segmenting over Conventional Segmentation Procedures: Application and Advantages0
Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation0
Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects0
Customizable Architecture Search for Semantic Segmentation0
Customized SAM 2 for Referring Remote Sensing Image Segmentation0
Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning0
CUSUM Filter for Brain Segmentation on DSC Perfusion MR Head Scans with Abnormal Brain Anatomy0
Cut, Glue & Cut: A Fast, Approximate Solver for Multicut Partitioning0
Cut out the annotator, keep the cutout: better segmentation with weak supervision0
Cutting-Splicing data augmentation: A novel technology for medical image segmentation0
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images0
D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation0
Show:102550
← PrevPage 147 of 202Next →

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