SOTAVerified

Edge Detection

Edge Detection is a fundamental image processing technique which involves computing an image gradient to quantify the magnitude and direction of edges in an image. Image gradients are used in various downstream tasks in computer vision such as line detection, feature detection, and image classification.

Source: Artistic Enhancement and Style Transfer of Image Edges using Directional Pseudo-coloring

( Image credit: Kornia )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–425 of 490 papers

TitleStatusHype
A Systematic Approach for MRI Brain Tumor Localization, and Segmentation using Deep Learning and Active Contouring—0
A Trio-Method for Retinal Vessel Segmentation using Image Processing—0
Automated Management of Pothole related Disasters Using Image Processing and Geotagging—0
Automated Quantification of White Blood Cells in Light Microscopic Images of Injured Skeletal Muscle—0
Automatic Detection and Rectification of Paper Receipts on Smartphones—0
Automating Attendance Management in Human Resources: A Design Science Approach Using Computer Vision and Facial Recognition—0
A Watermarking Technique Using Discrete Curvelet Transform for Security of Multiple Biometric Features—0
Beyond Camera Motion Blur Removing: How to Handle Outliers in Deblurring—0
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields—0
Bioacoustical Periodic Pulse Train Signal Detection and Classification using Spectrogram Intensity Binarization and Energy Projection—0
Biomolecular Event Extraction using a Stacked Generalization based Classifier—0
BoundED: Neural Boundary and Edge Detection in 3D Point Clouds via Local Neighborhood Statistics—0
Cable Slack Detection for Arresting Gear Application using Machine Vision—0
CAFENet: Class-Agnostic Few-Shot Edge Detection Network—0
Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings?—0
CDSE-UNet: Enhancing COVID-19 CT Image Segmentation with Canny Edge Detection and Dual-Path SENet Feature Fusion—0
CFAR Edge Detector for Polarimetric SAR Images—0
Classic versus deep learning approaches to address computer vision challenges—0
Clutter Edges Detection Algorithms for Structured Clutter Covariance Matrices—0
CMR motion artifact correction using generative adversarial nets—0
Color Image Edge Detection using Multi-scale and Multi-directional Gabor filter—0
Color Recognition in Challenging Lighting Environments: CNN Approach—0
Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation—0
Comparative analysis of common edge detection techniques in context of object extraction—0
Comparative Study Of Image Edge Detection Algorithms—0
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All datasetsBIPEDMDBDUDEDBRINDCIDCityscapes testSBDBSDS500

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DDNODS0.92—Unverified
2DexiNedODS0.9—Unverified
3BDCNODS0.89—Unverified
4LDCODS0.89—Unverified
5CATSODS0.89—Unverified
6RCFODS0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1DexiNed-aODS0.89—Unverified
2DexiNed-fODS0.89—Unverified
3CATSODS0.89—Unverified
4BDCNODS0.89—Unverified
5LDCODS0.88—Unverified
6RCFODS0.88—Unverified
#ModelMetricClaimedVerifiedStatus
1DDNODS0.83—Unverified
2TEEDODS0.83—Unverified
3LDCODS0.82—Unverified
4DexiNedODS0.82—Unverified
5PiDiNetODS0.81—Unverified
#ModelMetricClaimedVerifiedStatus
1LDCODS0.79—Unverified
2BDCNODS0.79—Unverified
3PiDiNetODS0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1SEDODS0.65—Unverified
2DexiNed (WACV'2020)ODS0.65—Unverified
#ModelMetricClaimedVerifiedStatus
1RPCNetAP86.15—Unverified
2CASENetAP70.8—Unverified
#ModelMetricClaimedVerifiedStatus
1CASENetMaximum F-measure71.4—Unverified
2WSOBMaximum F-measure52—Unverified
#ModelMetricClaimedVerifiedStatus
1RCNF10.82—Unverified