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 851875 of 5035 papers

TitleStatusHype
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image SegmentationCode1
Towards a Guideline for Evaluation Metrics in Medical Image SegmentationCode1
L2B: Learning to Bootstrap Robust Models for Combating Label NoiseCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
A Novel Encoder-Decoder Network with Guided Transmission Map for Single Image DehazingCode1
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
Enhancing Organ at Risk Segmentation with Improved Deep Neural NetworksCode1
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image SegmentationCode1
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image SegmentationCode1
Möbius Convolutions for Spherical CNNsCode1
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image SegmentationCode1
An Active Contour Model Using Matched Filter and Hessian Matrix for Retinal Vessels SegmentationCode1
DocSegTr: An Instance-Level End-to-End Document Image Segmentation TransformerCode1
Auto-Compressing Subset Pruning for Semantic Image SegmentationCode1
MISeval: a Metric Library for Medical Image Segmentation EvaluationCode1
Improving Across-Dataset Brain Tissue Segmentation Using TransformerCode1
SegTransVAE: Hybrid CNN -- Transformer with Regularization for medical image segmentationCode1
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image SegmentationCode1
Transformer and CNN Hybrid Deep Neural Network for Semantic Segmentation of Very-High-Resolution Remote Sensing ImageryCode1
Contrastive Pretraining for Echocardiography Segmentation with Limited DataCode1
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea SegmentationCode1
Effect of Prior-based Losses on Segmentation Performance: A BenchmarkCode1
GPU-Net: Lightweight U-Net with more diverse featuresCode1
MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing dataCode1
D-Former: A U-shaped Dilated Transformer for 3D Medical Image SegmentationCode1
Show:102550
← PrevPage 35 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