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 101125 of 490 papers

TitleStatusHype
SuperEdge: Towards a Generalization Model for Self-Supervised Edge DetectionCode1
DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge DetectionCode3
MuGE: Multiple Granularity Edge Detection0
Effective Video Mirror Detection with Inconsistent Motion CuesCode0
Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect SegmentationCode1
Deep transfer learning for visual analysis and attribution of paintings by RaphaelCode0
A fast numerical algorithm for finding all real solutions to a system of N nonlinear equations in a finite domain0
Cable Slack Detection for Arresting Gear Application using Machine Vision0
Meta ControlNet: Enhancing Task Adaptation via Meta LearningCode1
DiffSLVA: Harnessing Diffusion Models for Sign Language Video AnonymizationCode0
Depth Insight -- Contribution of Different Features to Indoor Single-image Depth Estimation0
Vision-Based Incoming Traffic Estimator Using Deep Neural Network on General Purpose Embedded Hardware0
FaultSeg Swin-UNETR: Transformer-Based Self-Supervised Pretraining Model for Fault Recognition0
Research on Key Technologies of Infrastructure Digitalization based on Multimodal Spatial Data0
Quantum image edge detection based on eight-direction Sobel operator for NEQR0
3D Density-Gradient based Edge Detection on Neural Radiance Fields (NeRFs) for Geometric Reconstruction0
Temporal compressive edge imaging enabled by a lensless diffuser camera0
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp SegmentationCode1
DeNISE: Deep Networks for Improved Segmentation Edges0
A Pseudo-Boolean Polynomials Approach for Image Edge DetectionCode0
Pseudo-Boolean Polynomials Approach To Edge Detection And Image Segmentation0
Practical Edge Detection via Robust Collaborative LearningCode0
Zero-Shot Edge Detection with SCESAME: Spectral Clustering-based Ensemble for Segment Anything Model EstimationCode1
R-C-P Method: An Autonomous Volume Calculation Method Using Image Processing and Machine Vision0
TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo0
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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
2PiDiNetODS0.79Unverified
3BDCNODS0.79Unverified
#ModelMetricClaimedVerifiedStatus
1SEDODS0.65Unverified
2DexiNed (WACV'2020)ODS0.65Unverified
#ModelMetricClaimedVerifiedStatus
1RPCNetAP86.15Unverified
2CASENetAP70.8Unverified
#ModelMetricClaimedVerifiedStatus
1CASENetMaximum F-measure71.4Unverified
2WSOBMaximum F-measure52Unverified
#ModelMetricClaimedVerifiedStatus
1RCNF10.82Unverified