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 35763600 of 5035 papers

TitleStatusHype
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient0
Deep Superpixel Cut for Unsupervised Image Segmentation0
Principal component-based image segmentation: a new approach to outline in vitro cell colonies0
High-Resolution Segmentation of Tooth Root Fuzzy Edge Based on Polynomial Curve Fitting with Landmark Detection0
Morphological Operation Residual Blocks: Enhancing 3D Morphological Feature Representation in Convolutional Neural Networks for Semantic Segmentation of Medical Images0
Learning With Context Feedback Loop for Robust Medical Image SegmentationCode0
K-means segmentation based-on lab color space for embryo detection in incubated egg0
Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation0
A Novel CNN-LSTM-based Approach to Predict Urban Expansion0
Uncertainty guided semi-supervised segmentation of retinal layers in OCT images0
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models0
Convolution-Free Medical Image Segmentation using Transformers0
Binary segmentation of medical images using implicit spline representations and deep learningCode0
Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models0
Direct Estimation of Appearance Models for Segmentation0
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic SegmentationCode0
EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks0
Center Smoothing: Certified Robustness for Networks with Structured OutputsCode0
Benefits of Linear Conditioning with Metadata for Image Segmentation0
Uncertainty-based method for improving poorly labeled segmentation datasets0
A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy0
Membership Inference Attacks are Easier on Difficult ProblemsCode0
Segmenting two-dimensional structures with strided tensor networksCode0
Saliency-Aware Class-Agnostic Food Image Segmentation0
L-SNet: from Region Localization to Scale Invariant Medical 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