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 41514175 of 5035 papers

TitleStatusHype
Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural NetworksCode0
A Fast, Semi-Automatic Brain Structure Segmentation Algorithm for Magnetic Resonance Imaging0
Self-Supervised Audio-Visual Co-Segmentation0
VoteNet: A Deep Learning Label Fusion Method for Multi-Atlas Segmentation0
Road Crack Detection Using Deep Convolutional Neural Network and Adaptive ThresholdingCode0
Fast Single Image Dehazing via Multilevel Wavelet Transform based OptimizationCode0
Region homogeneity in the Logarithmic Image Processing framework: application to region growing algorithms0
Automated Design of Deep Learning Methods for Biomedical Image SegmentationCode0
DeepAtlas: Joint Semi-Supervised Learning of Image Registration and SegmentationCode0
Deep learning for image segmentation: veritable or overhyped?0
CloudSegNet: A Deep Network for Nychthemeron Cloud Image SegmentationCode0
Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images0
UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic ImagesCode0
Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology0
CNN-Based Deep Architecture for Reinforced Concrete Delamination Segmentation Through Thermography0
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds0
QANet -- Quality Assurance Network for Image Segmentation0
Cross-Modal Self-Attention Network for Referring Image SegmentationCode0
3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images0
Constrained Deep Networks: Lagrangian Optimization via Log-Barrier ExtensionsCode0
From Patch to Image Segmentation using Fully Convolutional Networks -- Application to Retinal ImagesCode0
Adaptive Morphological Reconstruction for Seeded Image SegmentationCode0
Mumford-Shah Loss Functional for Image Segmentation with Deep LearningCode1
Improved Inference via Deep Input Transfer0
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks0
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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