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 14261450 of 5035 papers

TitleStatusHype
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data0
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey0
Exemplar-Based Face Parsing0
A parameterless scale-space approach to find meaningful modes in histograms - Application to image and spectrum segmentation0
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation0
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images0
A Parallel Framework for Parametric Maximum Flow Problems in Image Segmentation0
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation0
Cell segmentation with random ferns and graph-cuts0
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets0
AoP-SAM: Automation of Prompts for Efficient Segmentation0
Evolutionary Prompt Optimization Discovers Emergent Multimodal Reasoning Strategies in Vision-Language Models0
Exemplar Learning for Medical Image Segmentation0
Explainable Binary Classification of Separable Shape Ensembles0
Cell segmentation from telecentric bright-field transmitted light microscopy images using a Residual Attention U-Net: a case study on HeLa line0
A dynamic interactive learning framework for automated 3D medical image segmentation0
A Comparative Tutorial of the Histogram-based Image Segmentation Methods0
Cell image segmentation by Feature Random Enhancement Module0
CDSE-UNet: Enhancing COVID-19 CT Image Segmentation with Canny Edge Detection and Dual-Path SENet Feature Fusion0
Event management for large scale event-driven digital hardware spiking neural networks0
An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation0
A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images0
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation0
An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything0
A Dynamically Weighted Loss Function for Unsupervised Image Segmentation0
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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