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 47014725 of 5035 papers

TitleStatusHype
Microplastic Identification Using AI-Driven Image Segmentation and GAN-Generated Ecological Context0
Microvasculature Segmentation in Human BioMolecular Atlas Program (HuBMAP)0
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation0
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation0
Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach0
Minimum Class Confusion based Transfer for Land Cover Segmentation in Rural and Urban Regions0
MIRAM: Masked Image Reconstruction Across Multiple Scales for Breast Lesion Risk Prediction0
MiSuRe is all you need to explain your image segmentation0
Mitigating False Predictions In Unreasonable Body Regions0
Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals0
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation0
MixCL: Pixel label matters to contrastive learning0
Mixed-Block Neural Architecture Search for Medical Image Segmentation0
Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation0
Mixed-Query Transformer: A Unified Image Segmentation Architecture0
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications to Parallel Machine Learning and Multi-Label Image Segmentation0
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications0
Mixed-Supervised Dual-Network for Medical Image Segmentation0
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference0
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation0
MixModule: Mixed CNN Kernel Module for Medical Image Segmentation0
Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation0
Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation0
Mixtures of Neural Cellular Automata: A Stochastic Framework for Growth Modelling and Self-Organization0
Mixup-Privacy: A simple yet effective approach for privacy-preserving 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