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 376–400 of 490 papers

TitleStatusHype
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using deep convolutional neural networks—0
Three Birds One Stone: A General Architecture for Salient Object Segmentation, Edge Detection and Skeleton Extraction—0
Multi-scale Processing of Noisy Images using Edge Preservation LossesCode0
EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching—0
Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentation—0
Deep Crisp Boundaries: From Boundaries to Higher-level Tasks—0
Quality assessment metrics for edge detection and edge-aware filtering: A tutorial review—0
Texture Object Segmentation Based on Affine Invariant Texture Detection—0
Efficient Licence Plate Detection By Unique Edge Detection Algorithm and Smarter Interpretation Through IoT—0
Smoothness-based Edge Detection using Low-SNR Camera for Robot Navigation—0
Visual Odometry for Pixel Processor Arrays—0
Gaussian Three-Dimensional kernel SVM for Edge Detection Applications—0
Unsupervised Classification of Intrusive Igneous Rock Thin Section Images using Edge Detection and Colour Analysis—0
Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network—0
Image Segmentation Algorithms Overview—0
Deep Crisp Boundaries—0
On Detection of Faint Edges in Noisy ImagesCode0
Feature Enhancement in Visually Impaired Images—0
CASENet: Deep Category-Aware Semantic Edge DetectionCode0
PixelNet: Representation of the pixels, by the pixels, and for the pixelsCode0
A Watermarking Technique Using Discrete Curvelet Transform for Security of Multiple Biometric Features—0
A Digital Fuzzy Edge Detector for Color Images—0
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks—0
Classification With an Edge: Improving Semantic Image Segmentation with Boundary DetectionCode0
Biomolecular Event Extraction using a Stacked Generalization based Classifier—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