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 201–250 of 490 papers

TitleStatusHype
Quark: A Gradient-Free Quantum Learning Framework for Classification Tasks—0
An Adaptive Threshold for the Canny Edge Detection with Actor-Critic Algorithm—0
A Trio-Method for Retinal Vessel Segmentation using Image Processing—0
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends—0
Road detection via a dual-task network based on cross-layer graph fusion modules—0
IDAN: Image Difference Attention Network for Change Detection—0
Color Image Edge Detection using Multi-scale and Multi-directional Gabor filter—0
Traditional methods in Edge, Corner and Boundary detection—0
Adaptive Active Contour Model for Brain Tumor SegmentationCode0
Dual-space Compressed Sensing—0
The leaky integrator that could: Or recursive polynomial regression for online signal analysis—0
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields—0
Wasserstein Image Local Analysis: Histogram of Orientations, Smoothing and Edge Detection—0
End-to-End Instance Edge Detection—0
Edge Detection and Deep Learning Based SETI Signal Classification Method—0
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing—0
A hybrid quantum image edge detector for the NISQ era—0
One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning—0
Learning to Bound: A Generative Cramér-Rao BoundCode0
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation—0
Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection—0
Feature reconstruction from incomplete tomographic data without detour—0
Malaria detection in Segmented Blood Cell using Convolutional Neural Networks and Canny Edge Detection—0
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
Learning a microlocal prior for limited-angle tomography—0
Ghost Image Processing—0
Optimizing Edge Detection for Image Segmentation with Multicut Penalties—0
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
Soccer line mark segmentation and classification with stochastic watershed transform—0
A Robust Lane Detection Associated with Quaternion Hardy Filter—0
Dual-stream CNN: Joint Edge and Object for Nucleus Segmentation—0
Wave-based extreme deep learning based on non-linear time-Floquet entanglement—0
Dilated filters for edge detection algorithms—0
Learning Deep Morphological Networks with Neural Architecture SearchCode0
On-Off Center-Surround Receptive Fields for Accurate and Robust Image ClassificationCode0
A High Accuracy Image Hashing and Random Forest Classifier for Crack Detection in Concrete Surface Images—0
A Novel Edge Detection Operator for Identifying Buildings in Augmented Reality Applications—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