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 326–350 of 490 papers

TitleStatusHype
Towards Fast and Accurate Segmentation—0
Traditional methods in Edge, Corner and Boundary detection—0
Training-free Quantum-Inspired Image Edge Extraction Method—0
MIMT: Multi-Illuminant Color Constancy via Multi-Task Local Surface and Light Color Learning—0
Transforming Engineering Diagrams: A Novel Approach for P&ID Digitization using Transformers—0
Tropical Geometry Based Edge Detection Using Min-Plus and Max-Plus Algebra—0
TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo—0
Surface Damage Detection Scheme using Convolutional Neural Network and Artificial Neural Network—0
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data—0
Unsupervised Classification of Intrusive Igneous Rock Thin Section Images using Edge Detection and Colour Analysis—0
Unsupervised Learning of Edges—0
U-R-VEDA: Integrating UNET, Residual Links, Edge and Dual Attention, and Vision Transformer for Accurate Semantic Segmentation of CMRs—0
Using Genetic Algorithm To Evolve Cellular Automata In Performing Edge Detection—0
Vision-Based Incoming Traffic Estimator Using Deep Neural Network on General Purpose Embedded Hardware—0
Visual Odometry for Pixel Processor Arrays—0
Wasserstein Image Local Analysis: Histogram of Orientations, Smoothing and Edge Detection—0
Wave-based extreme deep learning based on non-linear time-Floquet entanglement—0
WavShadow: Wavelet Based Shadow Segmentation and Removal—0
Weak Edge Identification Nets for Ocean Front Detection—0
Weakly Supervised Object Boundaries—0
MuGE: Multiple Granularity Edge Detection—0
Adversarial Examples for Edge Detection: They Exist, and They Transfer—0
Panoptic Edge Detection—0
Deep Local Global Refinement Network for Stent Analysis in IVOCT Images—0
3D Density-Gradient based Edge Detection on Neural Radiance Fields (NeRFs) for Geometric Reconstruction—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
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