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 45764600 of 5035 papers

TitleStatusHype
Learning Aerial Image Segmentation from Online MapsCode0
Improving Gibbs Sampler Scan Quality with DoGS0
Dominant Sets for "Constrained" Image Segmentation0
Adversarial training and dilated convolutions for brain MRI segmentation0
Image Segmentation Algorithms Overview0
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext TaskCode0
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image SegmentationCode0
Location Dependent Dirichlet Processes0
Improving RANSAC-Based Segmentation Through CNN Encapsulation0
Learning Object Interactions and Descriptions for Semantic Image Segmentation0
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation0
Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRFCode0
ShapeOdds: Variational Bayesian Learning of Generative Shape Models0
Robust Video-Based Eye Tracking Using Recursive Estimation of Pupil CharacteristicsCode0
A Computer Vision Pipeline for Automated Determination of Cardiac Structure and Function and Detection of Disease by Two-Dimensional Echocardiography0
Tversky loss function for image segmentation using 3D fully convolutional deep networksCode0
Rethinking Atrous Convolution for Semantic Image SegmentationCode1
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation0
ν-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters0
A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images0
SegAN: Adversarial Network with Multi-scale L_1 Loss for Medical Image SegmentationCode0
Line Profile Based Segmentation Algorithm for Touching Corn Kernels0
Nighttime sky/cloud image segmentationCode0
Dense Transformer NetworksCode0
The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networksCode2
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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