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 30013025 of 5035 papers

TitleStatusHype
A Comparative Tutorial of the Histogram-based Image Segmentation Methods0
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data0
A Comparison of Nature Inspired Algorithms for Multi-threshold Image Segmentation0
A Compositional Approach to Occlusion in Panoptic Segmentation0
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches0
A Comprehensive Review of Modern Object Segmentation Approaches0
A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation0
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks0
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends0
A Comprehensive Survey of Transformers for Computer Vision0
A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements0
Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical images0
A Computer Vision Pipeline for Automated Determination of Cardiac Structure and Function and Detection of Disease by Two-Dimensional Echocardiography0
A Connection between Feed-Forward Neural Networks and Probabilistic Graphical Models0
A Contrario Selection of Optimal Partitions for Image Segmentation0
Active Contour Models Driven by Hyperbolic Mean Curvature Flow for Image Segmentation0
Active Contour Models for Manifold Valued Image Segmentation0
Active contours driven by local and global intensity fitting energy with application to SAR image segmentation and its fast solvers0
Active Contours with Group Similarity0
Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation0
Active Image Segmentation Propagation0
Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation0
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation0
Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models0
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training0
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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