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

Showing 201–225 of 490 papers

TitleStatusHype
Phase-Stretch Adaptive Gradient-Field Extractor (PAGE)Code0
Clutter Edges Detection Algorithms for Structured Clutter Covariance Matrices—0
STEdge: Self-training Edge Detection with Multi-layer Teaching and RegularizationCode0
Geometric Structure Preserving Warp for Natural Image StitchingCode1
Learning a microlocal prior for limited-angle tomography—0
Ghost Image Processing—0
Optimizing Edge Detection for Image Segmentation with Multicut Penalties—0
Dense Extreme Inception Network for Edge DetectionCode1
Directional Lifting Wavelet Transform for Image Edge Analysis—0
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation—0
Results of improved fractional/integer order PDE-based binarization model—0
Pose Recognition in the Wild: Animal pose estimation using Agglomerative Clustering and Contrastive Learning—0
3D-OOCS: Learning Prostate Segmentation with Inductive BiasCode0
The magnitude vector of imagesCode0
Robust Edge-Direct Visual Odometry based on CNN edge detection and Shi-Tomasi corner optimization—0
An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks—0
An automated threshold Edge Drawing algorithm—0
A signed pulse-train based image processor-array for parallel kernel convolution in vision sensors—0
Anomalous Edge Detection in Edge Exchangeable Social Network Models—0
Image Processing via Multilayer Graph Spectra—0
Pixel Difference Networks for Efficient Edge DetectionCode1
Soccer line mark segmentation and classification with stochastic watershed transform—0
A Robust Lane Detection Associated with Quaternion Hardy Filter—0
RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and DepthCode1
Dual-stream CNN: Joint Edge and Object for Nucleus Segmentation—0
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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