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 126–150 of 490 papers

TitleStatusHype
cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial NetworksCode0
Effective Video Mirror Detection with Inconsistent Motion CuesCode0
Deep transfer learning for visual analysis and attribution of paintings by RaphaelCode0
Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge DeploymentCode0
Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function ConvolutionCode0
Deep Learning for Leopard Individual Identification: An Adaptive Angular Margin ApproachCode0
Edge-Direct Visual OdometryCode0
DeepFlux for Skeletons in the WildCode0
Multi-scale Processing of Noisy Images using Edge Preservation LossesCode0
DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite ImagesCode0
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-SupervisionCode0
DeepCS-TRD, a Deep Learning-based Cross-Section Tree Ring DetectorCode0
A modified ant colony based approach to digital image edge detectionCode0
Dynamic Feature Fusion for Semantic Edge DetectionCode0
EdgeNet: Semantic Scene Completion from a Single RGB-D ImageCode0
Fast Detection of Curved Edges at Low SNRCode0
Enhancing Generic Segmentation with Learned Region RepresentationsCode0
Learning Deep Morphological Networks with Neural Architecture SearchCode0
Fast Segment AnythingCode0
On Image segmentation using Fractional Gradients-Learning Model Parameters using Approximate Marginal InferenceCode0
Deep Crisp Boundaries—0
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing—0
A Robust Color Edge Detection Algorithm Based on Quaternion Hardy Filter—0
DCSM 2.0: Deep Conditional Shape Models for Data Efficient Segmentation—0
A Robust Color Edge Detection Algorithm Based on Quaternion Hardy Filter—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