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 201–225 of 490 papers

TitleStatusHype
Color Image Edge Detection using Multi-scale and Multi-directional Gabor filter—0
EfficientCrackNet: A Lightweight Model for Crack Segmentation—0
CMR motion artifact correction using generative adversarial nets—0
Enhancing Transparent Object Pose Estimation: A Fusion of GDR-Net and Edge Detection—0
Equivalence of Correlation Filter and Convolution Filter in Visual Tracking—0
An ocean front detection and tracking algorithm—0
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding—0
A Feasibility study for Deep learning based automated brain tumor segmentation using Magnetic Resonance Images—0
Panoptic Edge Detection—0
Exploring the Effectiveness of Deep Features from Domain-Specific Foundation Models in Retinal Image Synthesis—0
Effective Features of Remote Sensing Image Classification Using Interactive Adaptive Thresholding Method—0
Clutter Edges Detection Algorithms for Structured Clutter Covariance Matrices—0
Fall Leaf Adversarial Attack on Traffic Sign Classification—0
EDoG: Adversarial Edge Detection For Graph Neural Networks—0
An image structure model for exact edge detection—0
Edge-weighted pFISTA-Net for MRI Reconstruction—0
Classic versus deep learning approaches to address computer vision challenges—0
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection—0
FaultSeg Swin-UNETR: Transformer-Based Self-Supervised Pretraining Model for Fault Recognition—0
Feature Enhancement in Visually Impaired Images—0
EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching—0
Feature reconstruction from incomplete tomographic data without detour—0
A new Edge Detector Based on Parametric Surface Model: Regression Surface Descriptor—0
A fast numerical algorithm for finding all real solutions to a system of N nonlinear equations in a finite domain—0
Edge-preserving Image Denoising via Multi-scale Adaptive Statistical Independence Testing—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