SOTAVerified

Segmentation

Papers

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Showing 5176–5200 of 13072 papers

TitleStatusHype
Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and t-SNE—0
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models—0
Edge-Enabled Real-time Railway Track Segmentation—0
Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery—0
Susceptibility of Adversarial Attack on Medical Image Segmentation ModelsCode0
Boosting Few-Shot Semantic Segmentation Via Segment Anything Model—0
Boosting Few-Shot Segmentation via Instance-Aware Data Augmentation and Local Consensus Guided Cross Attention—0
Depth Over RGB: Automatic Evaluation of Open Surgery Skills Using Depth Camera—0
Slicer Networks—0
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation—0
XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection—0
P2Seg: Pointly-supervised Segmentation via Mutual Distillation—0
M3BUNet: Mobile Mean Max UNet for Pancreas Segmentation on CT-Scans—0
Artificial Intelligence-based algorithms in medical image scan seg-mentation and intelligent visual-content generation -- a concise overview—0
A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and TrackingCode0
A Comparative Analysis of U-Net-based models for Segmentation of Cardiac MRI—0
Enhanced Automated Quality Assessment Network for Interactive Building Segmentation in High-Resolution Remote Sensing ImageryCode0
Text Region Multiple Information Perception Network for Scene Text Detection—0
Uncertainty Modeling in Ultrasound Image Segmentation for Precise Fetal Biometric Measurements—0
Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning—0
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling—0
Change Detection Between Optical Remote Sensing Imagery and Map Data via Segment Anything Model (SAM)—0
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense PredictionCode0
Importance-Aware Image Segmentation-based Semantic Communication for Autonomous Driving—0
Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified