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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2051–2100 of 5035 papers

TitleStatusHype
Image segmentation via Cellular Automata—0
Image Shadow Removal Using End-to-End Deep Convolutional Neural Networks—0
Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism—0
Do Deep Neural Networks for Segmentation Understand Insideness?—0
DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning—0
DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts—0
An Enhancement Neighborhood connected Segmentation for 2D-Cellular Image—0
ADEPT: A Noninvasive Method for Determining Elastic Parameters of Valve Tissue—0
DMCNN: A Deep Multiscale Convolutional Neural Network Model for Medical Image Segmentation—0
DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images—0
DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation—0
Bi-VLGM : Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation—0
An Empirical Study on the Robustness of the Segment Anything Model (SAM)—0
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation—0
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation—0
Diversity-Promoting Ensemble for Medical Image Segmentation—0
FocusNet++: Attentive Aggregated Transformations for Efficient and Accurate Medical Image Segmentation—0
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation—0
Diversity in Machine Learning—0
BiPrompt-SAM: Enhancing Image Segmentation via Explicit Selection between Point and Text Prompts—0
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once—0
Image Segmentation to Distinguish Between Overlapping Human Chromosomes—0
Image Segmentation to Identify Safe Landing Zones for Unmanned Aerial Vehicles—0
Distribution-aware Margin Calibration for Medical Image Segmentation—0
Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images—0
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation—0
Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods—0
Image Segmentation of Multi-Shaped Overlapping Objects—0
PanicleNeRF: low-cost, high-precision in-field phenotypingof rice panicles with smartphone—0
Distributed U-net model and Image Segmentation for Lung Cancer Detection—0
Image segmentation of cross-country scenes captured in IR spectrum—0
Distributed Submodular Minimization via Block-Wise Updates and Communications—0
Distributed Contrastive Learning for Medical Image Segmentation—0
An Elastica Geodesic Approach With Convexity Shape Prior—0
Image segmentation of liver stage malaria infection with spatial uncertainty sampling—0
Image segmentation of treated and untreated tumor spheroids by Fully Convolutional Networks—0
Distilling effective supervision for robust medical image segmentation with noisy labels—0
Image Segmentation in Twenty Questions—0
An Efficient Polyp Segmentation Network—0
Image Segmentation in Liquid Argon Time Projection Chamber Detector—0
Disparity Image Segmentation For ADAS—0
Disjunctive Normal Level Set: An Efficient Parametric Implicit Method—0
Bidirectional Uncertainty-Aware Region Learning for Semi-Supervised Medical Image Segmentation—0
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation—0
A deep-structured fully-connected random field model for structured inference—0
Image Segmentation Methods for Non-destructive testing Applications—0
Image Segmentation of Zona-Ablated Human Blastocysts—0
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation—0
Discriminative Re-ranking of Diverse Segmentations—0
A deep level set method for image segmentation—0
Show:102550
← PrevPage 42 of 101Next →
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