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 3301–3350 of 5035 papers

TitleStatusHype
AttenScribble: Attentive Similarity Learning for Scribble-Supervised Medical Image Segmentation—0
Attentional Triple-Encoder Network in Spatiospectral Domains for Medical Image Segmentation—0
Attention Augmented ConvNeXt UNet For Rectal Tumour Segmentation—0
AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks—0
Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation—0
Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation—0
Attention Mechanisms in Medical Image Segmentation: A Survey—0
Attention on Classification for Fire Segmentation—0
Attention to Scale: Scale-aware Semantic Image Segmentation—0
Attention Toward Neighbors: A Context Aware Framework for High Resolution Image Segmentation—0
A Turing Test for Artificial Nets devoted to model Human Vision—0
A Type II Fuzzy Entropy Based Multi-Level Image Thresholding Using Adaptive Plant Propagation Algorithm—0
Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation—0
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data—0
A Unified Hardware Architecture for Convolutions and Deconvolutions in CNN—0
A Unifying Family of Data-Adaptive Partitioning Algorithms—0
Autoencoders for Multi-Label Prostate MR Segmentation—0
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation—0
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation—0
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models—0
Automated Design of Salient Object Detection Algorithms with Brain Programming—0
Automated Human Claustrum Segmentation using Deep Learning Technologies—0
Automated image segmentation for detecting cell spreading for metastasizing assessments of cancer development—0
Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients—0
Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention—0
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation—0
Automated Pavement Crack Segmentation Using U-Net-based Convolutional Neural Network—0
Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy from DWI Data—0
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study—0
Automated Resolution Selection for Image Segmentation—0
Automated risk classification of colon biopsies based on semantic segmentation of histopathology images—0
Automated Segmentation and Analysis of Microscopy Images of Laser Powder Bed Fusion Melt Tracks—0
Automated Segmentation of Retinal Layers from Optical Coherent Tomography Images Using Geodesic Distance—0
Automated Virtual Product Placement and Assessment in Images using Diffusion Models—0
Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning—0
Automatically Designing CNN Architectures for Medical Image Segmentation—0
Automatically Searching for U-Net Image Translator Architecture—0
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss—0
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net—0
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks—0
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction—0
Automatic Breast Ultrasound Image Segmentation: A Survey—0
Automatic Classification of Alzheimer's Disease using brain MRI data and deep Convolutional Neural Networks—0
Automatic Color Image Segmentation Using a Square Elemental Region-Based Seeded Region Growing and Merging Method—0
Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders—0
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation—0
Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data—0
Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach—0
Automatic Estimation of Live Coffee Leaf Infection based on Image Processing Techniques—0
Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net—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