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 101–150 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 Detection—0
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 domain—0
Cable Slack Detection for Arresting Gear Application using Machine Vision—0
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 Estimation—0
Vision-Based Incoming Traffic Estimator Using Deep Neural Network on General Purpose Embedded Hardware—0
FaultSeg Swin-UNETR: Transformer-Based Self-Supervised Pretraining Model for Fault Recognition—0
Research on Key Technologies of Infrastructure Digitalization based on Multimodal Spatial Data—0
Quantum image edge detection based on eight-direction Sobel operator for NEQR—0
3D Density-Gradient based Edge Detection on Neural Radiance Fields (NeRFs) for Geometric Reconstruction—0
Temporal compressive edge imaging enabled by a lensless diffuser camera—0
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp SegmentationCode1
DeNISE: Deep Networks for Improved Segmentation Edges—0
A Pseudo-Boolean Polynomials Approach for Image Edge DetectionCode0
Pseudo-Boolean Polynomials Approach To Edge Detection And Image Segmentation—0
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 Vision—0
TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo—0
The Color Clifford Hardy Signal: Application to Color Edge Detection and Optical Flow—0
Tiny and Efficient Model for the Edge Detection GeneralizationCode2
ECT: Fine-grained Edge Detection with Learned Cause TokensCode1
Generation of Realistic Synthetic Raw Radar Data for Automated Driving Applications using Generative Adversarial NetworksCode1
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge ConditioningCode1
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge ConditioningCode1
Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion ApproachesCode0
Hybrid quantum transfer learning for crack image classification on NISQ hardware—0
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise TransitionsCode0
Compact Twice Fusion Network for Edge DetectionCode0
Edge-Aware Mirror Network for Camouflaged Object DetectionCode1
A Deep Active Contour Model for Delineating Glacier Calving Fronts—0
Delving into Crispness: Guided Label Refinement for Crisp Edge DetectionCode1
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importanceCode0
Fast Segment AnythingCode0
Hierarchical Multiresolution Feature- and Prior-based Graphs for Classification—0
SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose EstimationCode0
Hybrid algorithm for the detection of turbulent flame fronts—0
Multi-Class Segmentation of Heterogeneous Areas in Biomedical and Environmental Images Based on the Assessment of Local Edge Density—0
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering—0
Low-Light Image Enhancement via Structure Modeling and GuidanceCode2
Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation—0
The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge DetectorCode1
PENet: A Joint Panoptic Edge Detection NetworkCode0
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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