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 33263350 of 5035 papers

TitleStatusHype
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation0
Automated Pavement Crack Segmentation Using U-Net-based Convolutional Neural Network0
Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy from DWI Data0
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study0
Automated Resolution Selection for Image Segmentation0
Automated risk classification of colon biopsies based on semantic segmentation of histopathology images0
Automated Segmentation and Analysis of Microscopy Images of Laser Powder Bed Fusion Melt Tracks0
Automated Segmentation of Retinal Layers from Optical Coherent Tomography Images Using Geodesic Distance0
Automated Virtual Product Placement and Assessment in Images using Diffusion Models0
Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning0
Automatically Designing CNN Architectures for Medical Image Segmentation0
Automatically Searching for U-Net Image Translator Architecture0
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss0
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net0
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks0
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction0
Automatic Breast Ultrasound Image Segmentation: A Survey0
Automatic Classification of Alzheimer's Disease using brain MRI data and deep Convolutional Neural Networks0
Automatic Color Image Segmentation Using a Square Elemental Region-Based Seeded Region Growing and Merging Method0
Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders0
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation0
Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data0
Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach0
Automatic Estimation of Live Coffee Leaf Infection based on Image Processing Techniques0
Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net0
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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