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 37513775 of 5035 papers

TitleStatusHype
Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation0
Guided interactive image segmentation using machine learning and color based data set clustering0
ECG-DelNet: Delineation of Ambulatory Electrocardiograms with Mixed Quality Labeling Using Neural NetworksCode1
Medical Image Segmentation Using a U-Net type of Architecture0
A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image SegmentationCode0
Progressive Adversarial Semantic Segmentation0
Source-Relaxed Domain Adaptation for Image SegmentationCode1
How Can CNNs Use Image Position for Segmentation?0
A Model for Image Segmentation in Retina0
Boundary-aware Context Neural Network for Medical Image SegmentationCode0
ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentationCode0
Learning Deformable Image Registration from Optimization: Perspective, Modules, Bilevel Training and BeyondCode1
Importance Driven Continual Learning for Segmentation Across DomainsCode1
Polygonal Building Segmentation by Frame Field LearningCode1
Feedback U-net for Cell Image Segmentation0
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation0
An Auto-Encoder Strategy for Adaptive Image SegmentationCode1
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy0
FU-net: Multi-class Image Segmentation Using Feedback Weighted U-netCode1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image SegmentationCode1
Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection SegmentationCode1
OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images0
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution0
A review: Deep learning for medical image segmentation using multi-modality fusion0
L-CO-Net: Learned Condensation-Optimization Network for Clinical Parameter Estimation from Cardiac Cine MRICode0
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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