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 11261150 of 5035 papers

TitleStatusHype
Universal Semantic Segmentation for Fisheye Urban Driving ImagesCode1
OPFython: A Python-Inspired Optimum-Path Forest ClassifierCode1
Medical Image Segmentation via Unsupervised Convolutional Neural NetworkCode1
RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion SegmentationCode1
SAUNet: Shape Attentive U-Net for Interpretable Medical Image SegmentationCode1
Image Segmentation Using Deep Learning: A SurveyCode1
A context based deep learning approach for unbalanced medical image segmentationCode1
Unpaired Multi-modal Segmentation via Knowledge DistillationCode1
Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature AbstractionCode1
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and AnalysisCode1
Automated Segmentation of Optical Coherence Tomography Angiography Images: Benchmark Data and Clinically Relevant MetricsCode1
PointRend: Image Segmentation as RenderingCode1
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network PerformanceCode1
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image SegmentationCode1
ResUNet++: An Advanced Architecture for Medical Image SegmentationCode1
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image SegmentationCode1
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep StagingCode1
3D U^2-Net: A 3D Universal U-Net for Multi-Domain Medical Image SegmentationCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
Overfitting of neural nets under class imbalance: Analysis and improvements for segmentationCode1
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium SegmentationCode1
Separable Convolutional LSTMs for Faster Video SegmentationCode1
Deep Active Learning for Axon-Myelin Segmentation on Histology DataCode1
A Partially Reversible U-Net for Memory-Efficient Volumetric Image SegmentationCode1
Topology-Preserving Deep 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