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 426450 of 490 papers

TitleStatusHype
Comparing Edge Detection Methods based on Stochastic Entropies and Distances for PolSAR Imagery0
Compressed ghost edge imaging0
Computing the Spatial Probability of Inclusion inside Partial Contours for Computer Vision Applications0
Content Based Image Indexing and Retrieval0
Context-Aware Image Denoising with Auto-Threshold Canny Edge Detection to Suppress Adversarial Perturbation0
Context-Constrained Accurate Contour Extraction for Occlusion Edge Detection0
Contour Detection in Cassini ISS images based on Hierarchical Extreme Learning Machine and Dense Conditional Random Field0
Contour Detection in Unstructured 3D Point Clouds0
Contour Detection Using Contrast Formulas in the Framework of Logarithmic Models0
Convex Analysis of Mixtures for Separating Non-negative Well-grounded Sources0
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation0
CRAFT: A multifunction online platform for speech prosody visualisation0
Cross-Domain Evaluation of Edge Detection for Biomedical Event Extraction0
Custom Extended Sobel Filters0
Cutting-Edge Detection of Fatigue in Drivers: A Comparative Study of Object Detection Models0
Cycle Pixel Difference Network for Crisp Edge Detection0
DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images0
Dam Burst: A region-merging-based image segmentation method0
DCSM 2.0: Deep Conditional Shape Models for Data Efficient Segmentation0
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing0
Deep Crisp Boundaries0
Deep Crisp Boundaries: From Boundaries to Higher-level Tasks0
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy0
Deep Learning for Low-Dose CT Denoising0
Defective Edge Detection Using Cascaded Ensemble Canny Operator0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DDNODS0.92Unverified
2DexiNedODS0.9Unverified
3BDCNODS0.89Unverified
4LDCODS0.89Unverified
5CATSODS0.89Unverified
6RCFODS0.85Unverified
#ModelMetricClaimedVerifiedStatus
1DexiNed-aODS0.89Unverified
2DexiNed-fODS0.89Unverified
3CATSODS0.89Unverified
4BDCNODS0.89Unverified
5LDCODS0.88Unverified
6RCFODS0.88Unverified
#ModelMetricClaimedVerifiedStatus
1DDNODS0.83Unverified
2TEEDODS0.83Unverified
3LDCODS0.82Unverified
4DexiNedODS0.82Unverified
5PiDiNetODS0.81Unverified
#ModelMetricClaimedVerifiedStatus
1LDCODS0.79Unverified
2BDCNODS0.79Unverified
3PiDiNetODS0.79Unverified
#ModelMetricClaimedVerifiedStatus
1SEDODS0.65Unverified
2DexiNed (WACV'2020)ODS0.65Unverified
#ModelMetricClaimedVerifiedStatus
1RPCNetAP86.15Unverified
2CASENetAP70.8Unverified
#ModelMetricClaimedVerifiedStatus
1CASENetMaximum F-measure71.4Unverified
2WSOBMaximum F-measure52Unverified
#ModelMetricClaimedVerifiedStatus
1RCNF10.82Unverified