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

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Showing 3851–3900 of 5035 papers

TitleStatusHype
Microvasculature Segmentation in Human BioMolecular Atlas Program (HuBMAP)—0
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation—0
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation—0
Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach—0
Minimum Class Confusion based Transfer for Land Cover Segmentation in Rural and Urban Regions—0
MIRAM: Masked Image Reconstruction Across Multiple Scales for Breast Lesion Risk Prediction—0
MiSuRe is all you need to explain your image segmentation—0
Mitigating False Predictions In Unreasonable Body Regions—0
Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals—0
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation—0
MixCL: Pixel label matters to contrastive learning—0
Mixed-Block Neural Architecture Search for Medical Image Segmentation—0
Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation—0
Mixed-Query Transformer: A Unified Image Segmentation Architecture—0
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications to Parallel Machine Learning and Multi-Label Image Segmentation—0
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications—0
Mixed-Supervised Dual-Network for Medical Image Segmentation—0
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference—0
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation—0
MixModule: Mixed CNN Kernel Module for Medical Image Segmentation—0
Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation—0
Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation—0
Mixtures of Neural Cellular Automata: A Stochastic Framework for Growth Modelling and Self-Organization—0
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation—0
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation—0
MLA-BIN: Model-level Attention and Batch-instance Style Normalization for Domain Generalization of Federated Learning on Medical Image Segmentation—0
MMNet: Multi-Mask Network for Referring Image Segmentation—0
MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation—0
MM-UNet: Meta Mamba UNet for Medical Image Segmentation—0
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network—0
Mobile Image Analysis Application for Mantoux Skin Test—0
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation—0
Modality specific U-Net variants for biomedical image segmentation: A survey—0
Model-Based Robust Adaptive Semantic Segmentation—0
Modelling brain lesion volume in patches with CNN-based Poisson Regression—0
Modern Convex Optimization to Medical Image Analysis—0
Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images—0
Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project—0
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation—0
Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers—0
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation—0
More than Encoder: Introducing Transformer Decoder to Upsample—0
More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation—0
Morphological Operation Residual Blocks: Enhancing 3D Morphological Feature Representation in Convolutional Neural Networks for Semantic Segmentation of Medical Images—0
Morphological segmentation of hyperspectral images—0
MorphSAM: Learning the Morphological Prompts from Atlases for Spine Image Segmentation—0
Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation—0
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation—0
Motion Mapping Cognition: A Nondecomposable Primary Process in Human Vision—0
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation—0
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All datasetsMSD (Mirror Segmentation Dataset)PMDMAS3KPascal Panoptic PartsRMASPASCAL VOCHuTu 80MARIDACOCO val2017ImageNetMSD HeartOxfordPets

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92—Unverified
2HetNetIoU0.83—Unverified
3PMDIoU0.82—Unverified
4SANetIoU0.8—Unverified
5MirrorNetIoU0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73—Unverified
2HetNetIoU0.69—Unverified
3SANetIoU0.67—Unverified
4PMDIoU0.66—Unverified
5MirrorNetIoU0.59—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8—Unverified
2MAS-SAMmIoU0.79—Unverified
3MASNetmIoU0.74—Unverified
4ZoomNetmIoU0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8—Unverified
2PPSmIoUPartS58.6—Unverified
3HIPIE (ResNet-50)mIoUPartS57.2—Unverified
4JPPFmIoUPartS54.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74—Unverified
2SAM2-UNetmIoU0.74—Unverified
3MASNetmIoU0.73—Unverified
4ZoomNetmIoU0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6—Unverified
2OneNete,4-SmAP0.552.75—Unverified
3OneNeted,4mIoU14.9—Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98—Unverified
2PALEDDice0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67—Unverified
2UNetIoU0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97—Unverified