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

Showing 17261750 of 5035 papers

TitleStatusHype
Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images0
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision0
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging0
GAEI-UNet: Global Attention and Elastic Interaction U-Net for Vessel Image Segmentation0
Gated CRF Loss for Weakly Supervised Semantic Image Segmentation0
Geodesic Paths for Image Segmentation with Implicit Region-based Homogeneity Enhancement0
Evolving Fuzzy Image Segmentation with Self-Configuration0
Greenhouse Segmentation on High-Resolution Optical Satellite Imagery using Deep Learning Techniques0
Exemplar-Based Face Parsing0
Hierarchical Attention Networks for Medical Image Segmentation0
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation0
Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations0
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey0
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation0
Explainable Binary Classification of Separable Shape Ensembles0
A New Validity Index for Fuzzy-Possibilistic C-Means Clustering0
Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation0
FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images0
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training0
Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets0
Explicit topological priors for deep-learning based image segmentation using persistent homology0
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data0
Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning0
CFPFormer: Feature-pyramid like Transformer Decoder for Segmentation and Detection0
Dual-Space Augmented Intrinsic-LoRA for Wind Turbine Segmentation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92Unverified
2HetNetIoU0.83Unverified
3PMDIoU0.82Unverified
4SANetIoU0.8Unverified
5MirrorNetIoU0.79Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73Unverified
2HetNetIoU0.69Unverified
3SANetIoU0.67Unverified
4PMDIoU0.66Unverified
5MirrorNetIoU0.59Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8Unverified
2MAS-SAMmIoU0.79Unverified
3MASNetmIoU0.74Unverified
4ZoomNetmIoU0.74Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8Unverified
2PPSmIoUPartS58.6Unverified
3HIPIE (ResNet-50)mIoUPartS57.2Unverified
4JPPFmIoUPartS54.4Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74Unverified
2SAM2-UNetmIoU0.74Unverified
3MASNetmIoU0.73Unverified
4ZoomNetmIoU0.73Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6Unverified
2OneNete,4-SmAP0.552.75Unverified
3OneNeted,4mIoU14.9Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98Unverified
2PALEDDice0.98Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67Unverified
2UNetIoU0.57Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97Unverified