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 126–150 of 490 papers

TitleStatusHype
Deep Crisp Boundaries—0
An image structure model for exact edge detection—0
A fast numerical algorithm for finding all real solutions to a system of N nonlinear equations in a finite domain—0
Classic versus deep learning approaches to address computer vision challenges—0
A new Edge Detector Based on Parametric Surface Model: Regression Surface Descriptor—0
Edge and Corner Detection for Unorganized 3D Point Clouds with Application to Robotic Welding—0
CFAR Edge Detector for Polarimetric SAR Images—0
CDSE-UNet: Enhancing COVID-19 CT Image Segmentation with Canny Edge Detection and Dual-Path SENet Feature Fusion—0
A New Class Biorthogonal Spline Wavelet for Image Edge Detection—0
Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings?—0
Adversarial Video Compression Guided by Soft Edge Detection—0
Active Canny: Edge Detection and Recovery with Open Active Contour Models—0
CAFENet: Class-Agnostic Few-Shot Edge Detection Network—0
Cable Slack Detection for Arresting Gear Application using Machine Vision—0
An Efficient Edge Detection Technique by Two Dimensional Rectangular Cellular Automata—0
BoundED: Neural Boundary and Edge Detection in 3D Point Clouds via Local Neighborhood Statistics—0
Biomolecular Event Extraction using a Stacked Generalization based Classifier—0
An Efficient Edge Detection Approach to Provide Better Edge Connectivity for Image Analysis—0
Advancements in Orthopaedic Arm Segmentation: A Comprehensive Review—0
Bioacoustical Periodic Pulse Train Signal Detection and Classification using Spectrogram Intensity Binarization and Energy Projection—0
An edge detection-based deep learning approach for tear meniscus height measurement—0
Advanced Knowledge Extraction of Physical Design Drawings, Translation and conversion to CAD formats using Deep Learning—0
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields—0
Beyond Camera Motion Blur Removing: How to Handle Outliers in Deblurring—0
Android Malware Detection Based on RGB Images and Multi-feature Fusion—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
2PiDiNetODS0.79—Unverified
3BDCNODS0.79—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