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 2651–2700 of 5035 papers

TitleStatusHype
Distribution-aware Margin Calibration for Medical Image Segmentation—0
Diversity in Machine Learning—0
Diversity-Promoting Ensemble for Medical Image Segmentation—0
FocusNet++: Attentive Aggregated Transformations for Efficient and Accurate Medical Image Segmentation—0
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation—0
DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation—0
DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images—0
DMCNN: A Deep Multiscale Convolutional Neural Network Model for Medical Image Segmentation—0
DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts—0
DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning—0
Do Deep Neural Networks for Segmentation Understand Insideness?—0
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation—0
Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain—0
Domain Adaptation for Visual Applications: A Comprehensive Survey—0
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation—0
Domain Adaptation on Semantic Segmentation for Aerial Images—0
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation—0
Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency—0
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation—0
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening—0
Domain-stratified Training for Cross-organ and Cross-scanner Adenocarcinoma Segmentation in the COSAS 2024 Challenge—0
Dominant Sets for "Constrained" Image Segmentation—0
Don't ignore Dropout in Fully Convolutional Networks—0
Do Segmentation Models Understand Vascular Structure? A Blob-Based XAI Framework—0
Double Banking on Knowledge: Customized Modulation and Prototypes for Multi-Modality Semi-supervised Medical Image Segmentation—0
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors—0
Double Similarity Distillation for Semantic Image Segmentation—0
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images—0
Downstream Analysis of Foundational Medical Vision Models for Disease Progression—0
DPANET:Dual Pooling Attention Network for Semantic Segmentation—0
DPE-Net: Dual-Parallel Encoder Based Network for Semantic Segmentation of Polyps—0
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations—0
DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder—0
Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation—0
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning—0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning—0
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation—0
Dual Convolutional LSTM Network for Referring Image Segmentation—0
Dual-Space Augmented Intrinsic-LoRA for Wind Turbine Segmentation—0
Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation—0
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation—0
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation—0
Dynamically evolving segment anything model with continuous learning for medical image segmentation—0
ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation—0
Dynamic Multiscale Tree Learning Using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions—0
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation—0
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis—0
Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices—0
Early Fusion of Features for Semantic Segmentation—0
EAUWSeg: Eliminating annotation uncertainty in weakly-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