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 2451–2500 of 5035 papers

TitleStatusHype
Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei Segmentation—0
A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning—0
A Fast, Semi-Automatic Brain Structure Segmentation Algorithm for Magnetic Resonance Imaging—0
A Comparison of Nature Inspired Algorithms for Multi-threshold Image Segmentation—0
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions—0
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery—0
Exploring Context with Deep Structured models for Semantic Segmentation—0
Challenge Results Are Not Reproducible—0
Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning—0
Exploring and Exploiting Diversity for Image Segmentation—0
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis—0
CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation via Backpropagating Refinement—0
CFPFormer: Feature-pyramid like Transformer Decoder for Segmentation and Detection—0
Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning—0
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data—0
CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Low Quality Medical Images—0
Explicit topological priors for deep-learning based image segmentation using persistent homology—0
Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets—0
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training—0
Explainable Semantic Medical Image Segmentation with Style—0
CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation—0
A Characteristic Function-based Algorithm for Geodesic Active Contours—0
Explainable Binary Classification of Separable Shape Ensembles—0
Explainable, automated urban interventions to improve pedestrian and vehicle safety—0
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation—0
A parameterless scale-space approach to find meaningful modes in histograms - Application to image and spectrum segmentation—0
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey—0
Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations—0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Exemplar Learning for Medical Image Segmentation—0
A Parallel Framework for Parametric Maximum Flow Problems in Image Segmentation—0
Exemplar-Based Face Parsing—0
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation—0
Evolving Fuzzy Image Segmentation with Self-Configuration—0
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey—0
Evolutionary Prompt Optimization Discovers Emergent Multimodal Reasoning Strategies in Vision-Language Models—0
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images—0
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation—0
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets—0
Cell segmentation with random ferns and graph-cuts—0
AoP-SAM: Automation of Prompts for Efficient Segmentation—0
AerOSeg: Harnessing SAM for Open-Vocabulary Segmentation in Remote Sensing Images—0
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data—0
Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images—0
Cell segmentation from telecentric bright-field transmitted light microscopy images using a Residual Attention U-Net: a case study on HeLa line—0
Event management for large scale event-driven digital hardware spiking neural networks—0
Cell image segmentation by Feature Random Enhancement Module—0
CDSE-UNet: Enhancing COVID-19 CT Image Segmentation with Canny Edge Detection and Dual-Path SENet Feature Fusion—0
A dynamic interactive learning framework for automated 3D medical image segmentation—0
Quantification of geogrid lateral restraint using transparent sand and deep learning-based 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