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 31763200 of 5035 papers

TitleStatusHype
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labelsCode1
AASeg: Attention Aware Network for Real Time Semantic Segmentation0
Sharp U-Net: Depthwise Convolutional Network for Biomedical Image SegmentationCode1
Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIPCode1
Robust Regularized Locality Preserving Indexing for Fiedler Vector Estimation0
Personalized Image Semantic SegmentationCode1
Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal ConvolutionsCode0
Investigating Shift-Variance of Convolutional Neural Networks in Ultrasound Image SegmentationCode0
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image SegmentationCode1
Modality-aware Mutual Learning for Multi-modal Medical Image SegmentationCode1
Weighted Intersection over Union (wIoU) for Evaluating Image SegmentationCode0
Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy DataCode1
VTBIS: Vision Transformer for Biomedical Image Segmentation0
An Automatic Nuclei Image Segmentation Based on Multi-Scale Split-Attention U-NetCode0
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image SegmentationCode1
Double Similarity Distillation for Semantic Image Segmentation0
Transductive image segmentation: Self-training and effect of uncertainty estimation0
Tracing Halpha Fibrils through Bayesian Deep Learning0
Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation0
What Image Features Boost Housing Market Predictions?0
Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift0
The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation0
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image SegmentationCode1
TransClaw U-Net: Claw U-Net with Transformers for Medical Image SegmentationCode0
A Spatial Guided Self-supervised Clustering Network for Medical Image SegmentationCode1
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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