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 51–75 of 490 papers

TitleStatusHype
Euler: Detecting Network Lateral Movement via Scalable Temporal Link PredictionCode1
Total Variation Optimization Layers for Computer VisionCode1
Unmixing Convolutional Features for Crisp Edge DetectionCode1
Learning to predict crisp boundariesCode1
Adaptive Linear Span Network for Object Skeleton DetectionCode1
Generation of Realistic Synthetic Raw Radar Data for Automated Driving Applications using Generative Adversarial NetworksCode1
GUI Element Detection Using SOTA YOLO Deep Learning ModelsCode1
Geometric Structure Preserving Warp for Natural Image StitchingCode1
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point CloudsCode1
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic CoastlineCode1
Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway ApplicationsCode1
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
Multimodal Generative Models for Scalable Weakly-Supervised LearningCode1
Pre-processing Image using Brightening, CLAHE and RETINEXCode1
Self-Supervised Variational Auto-EncodersCode1
Instance-level Human Parsing via Part Grouping NetworkCode0
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object PerimetersCode0
Isolating phyllotactic patterns embedded in the secondary growth of sweet cherry (Prunus avium L.) using magnetic resonance imagingCode0
About Graph Degeneracy, Representation Learning and ScalabilityCode0
Holistically-Nested Edge DetectionCode0
A Pseudo-Boolean Polynomials Approach for Image Edge DetectionCode0
Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest PathCode0
Faster Training of Mask R-CNN by Focusing on Instance BoundariesCode0
Agricultural Field Boundary Detection through Integration of "Simple Non-Iterative Clustering (SNIC) Super Pixels" and "Canny Edge Detection Method"Code0
Fast Segment AnythingCode0
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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