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 25512575 of 5035 papers

TitleStatusHype
Style Augmentation improves Medical Image Segmentation0
Style Curriculum Learning for Robust Medical Image Segmentation0
Style-invariant Cardiac Image Segmentation with Test-time Augmentation0
Data augmentation in microscopic images for material data mining0
Subspace Learning in The Presence of Sparse Structured Outliers and Noise0
Supervision by Denoising for Medical Image Segmentation0
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation0
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling0
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling0
SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training0
Superdifferential Cuts for Binary Energies0
SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches0
Superpixel-Guided Label Softening for Medical Image Segmentation0
Superpixel Pre-Segmentation of HER2 Slides for Efficient Annotation0
Superpixel Segmentation Using Linear Spectral Clustering0
Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images0
Supervised Image Segmentation for High Dynamic Range Imaging0
Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation0
Support vector machine classification of dimensionally reduced structural MRI images for dementia0
Support Vector Machine Guided Reproducing Kernel Particle Method for Image-Based Modeling of Microstructures0
Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation0
Survey on Semantic Stereo Matching / Semantic Depth Estimation0
SUSAN: Segment Unannotated image Structure using Adversarial Network0
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images0
Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation0
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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