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 3001–3050 of 5035 papers

TitleStatusHype
A Comparative Tutorial of the Histogram-based Image Segmentation Methods—0
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data—0
A Comparison of Nature Inspired Algorithms for Multi-threshold Image Segmentation—0
A Compositional Approach to Occlusion in Panoptic Segmentation—0
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches—0
A Comprehensive Review of Modern Object Segmentation Approaches—0
A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation—0
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks—0
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends—0
A Comprehensive Survey of Transformers for Computer Vision—0
A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements—0
Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical images—0
A Computer Vision Pipeline for Automated Determination of Cardiac Structure and Function and Detection of Disease by Two-Dimensional Echocardiography—0
A Connection between Feed-Forward Neural Networks and Probabilistic Graphical Models—0
A Contrario Selection of Optimal Partitions for Image Segmentation—0
Active Contour Models Driven by Hyperbolic Mean Curvature Flow for Image Segmentation—0
Active Contour Models for Manifold Valued Image Segmentation—0
Active contours driven by local and global intensity fitting energy with application to SAR image segmentation and its fast solvers—0
Active Contours with Group Similarity—0
Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation—0
Active Image Segmentation Propagation—0
Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation—0
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation—0
Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models—0
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training—0
Adaptable Precomputation for Random Walker Image Segmentation and Registration—0
Adapting a Segmentation Foundation Model for Medical Image Classification—0
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation—0
Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation—0
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection—0
Adaptive Feature Fusion Neural Network for Glaucoma Segmentation on Unseen Fundus Images—0
Adaptive Mix for Semi-Supervised Medical Image Segmentation—0
Adaptive Noise-Tolerant Network for Image Segmentation—0
Adaptive Patching for High-resolution Image Segmentation with Transformers—0
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation—0
Adaptive strategy for superpixel-based region-growing image segmentation—0
Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology—0
A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation—0
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift—0
Additive Manufacturing Processes Protocol Prediction by Artificial Intelligence using X-ray Computed Tomography data—0
Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation—0
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI—0
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials—0
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy—0
A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images—0
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography—0
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation—0
A Deep Learning Object Detection Method for an Efficient Clusters Initialization—0
A Deep-Learning Usability Expansion Model of Ocean Observations—0
A deep level set method for image segmentation—0
Show:102550
← PrevPage 61 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