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 28262850 of 5035 papers

TitleStatusHype
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation0
Learning Foreground-Background Segmentation from Improved Layered GANs0
Unsupervised image segmentation by Global and local Criteria Optimization Based on Bayesian Networks0
Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial Regularization0
Unsupervised image segmentation using a simple MRF model with a new implementation scheme0
Unsupervised Image Segmentation using Mutual Mean-Teaching0
Unsupervised Image Segmentation using the Deffuant-Weisbuch Model from Social Dynamics0
Consistent estimation of the max-flow problem: Towards unsupervised image segmentation0
Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks0
Unsupervised learning of foreground object detection0
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images0
Unsupervised Multi-Class Joint Image Segmentation0
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation0
Unsupervised Pathology Image Segmentation Using Representation Learning with Spherical K-means0
Unsupervised Recognition of Informative Features via Tensor Network Machine Learning and Quantum Entanglement Variations0
Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments0
Unsupervised Segmentation by Diffusing, Walking and Cutting0
Unsupervised Segmentation Incorporating Shape Prior via Generative Adversarial Networks0
Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning0
Unsupervised Text Extraction from G-Maps0
Unveiling Ancient Maya Settlements Using Aerial LiDAR Image Segmentation0
UrbanGenAI: Reconstructing Urban Landscapes using Panoptic Segmentation and Diffusion Models0
USAM-Net: A U-Net-based Network for Improved Stereo Correspondence and Scene Depth Estimation using Features from a Pre-trained Image Segmentation network0
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation0
Using Deep Learning to Count Albatrosses from Space0
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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