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 176–200 of 490 papers

TitleStatusHype
Dual-stream CNN: Joint Edge and Object for Nucleus Segmentation—0
Edge Detection using Stationary Wavelet Transform, HMM, and EM algorithm—0
Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings?—0
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation—0
Dual-space Compressed Sensing—0
CFAR Edge Detector for Polarimetric SAR Images—0
Edge-preserving Image Denoising via Multi-scale Adaptive Statistical Independence Testing—0
Dual-mode adaptive-SVD ghost imaging—0
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection—0
Edge-weighted pFISTA-Net for MRI Reconstruction—0
Automatic Detection and Rectification of Paper Receipts on Smartphones—0
EDoG: Adversarial Edge Detection For Graph Neural Networks—0
Evaluating the Effectiveness of Automated Identity Masking (AIM) Methods with Human Perception and a Deep Convolutional Neural Network (CNN)—0
Effective Features of Remote Sensing Image Classification Using Interactive Adaptive Thresholding Method—0
Clutter Edges Detection Algorithms for Structured Clutter Covariance Matrices—0
Directional Lifting Wavelet Transform for Image Edge Analysis—0
CMR motion artifact correction using generative adversarial nets—0
Efficient Edge Detection on Low-Cost FPGAs—0
Efficient Licence Plate Detection By Unique Edge Detection Algorithm and Smarter Interpretation Through IoT—0
Efficient Neural Network Approaches for Leather Defect Classification—0
Embedded Systems and Computer Vision Techniques utilized in Spray Painting Robots: A Review—0
EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks—0
Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation—0
Anomalous Edge Detection in Edge Exchangeable Social Network Models—0
Automated Quantification of White Blood Cells in Light Microscopic Images of Injured Skeletal Muscle—0
Show:102550
← PrevPage 8 of 20Next →
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