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

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Showing 51–100 of 490 papers

TitleStatusHype
Mismatched: Evaluating the Limits of Image Matching Approaches and BenchmarksCode1
Euler: Detecting Network Lateral Movement via Scalable Temporal Link PredictionCode1
Meta ControlNet: Enhancing Task Adaptation via Meta LearningCode1
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp SegmentationCode1
Adaptive Linear Span Network for Object Skeleton DetectionCode1
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge ConditioningCode1
Multimodal Generative Models for Scalable Weakly-Supervised LearningCode1
MulT: An End-to-End Multitask Learning TransformerCode1
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge DetectionCode1
ECT: Fine-grained Edge Detection with Learned Cause TokensCode1
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based LossesCode1
Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge DetectionCode1
RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and DepthCode1
Leveraging edge detection and neural networks for better UAV localizationCode1
Pixel Difference Networks for Efficient Edge DetectionCode1
Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain ActivityCode0
Neuro-inspired edge feature fusion using Choquet integralsCode0
Multi-Task Meta Learning: learn how to adapt to unseen tasksCode0
About Graph Degeneracy, Representation Learning and ScalabilityCode0
NAFRSSR: a Lightweight Recursive Network for Efficient Stereo Image Super-ResolutionCode0
A Pseudo-Boolean Polynomials Approach for Image Edge DetectionCode0
Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion ApproachesCode0
Object Contour and Edge Detection with RefineContourNetCode0
Agricultural Field Boundary Detection through Integration of "Simple Non-Iterative Clustering (SNIC) Super Pixels" and "Canny Edge Detection Method"Code0
A novel centroid update approach for clustering-based superpixel methods and superpixel-based edge detectionCode0
An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine CompositesCode0
Adaptive edge detection algorithm for multi-focus applicationCode0
3D-OOCS: Learning Prostate Segmentation with Inductive BiasCode0
Line-Circle-Square (LCS): A Multilayered Geometric Filter for Edge-Based DetectionCode0
Adaptive Active Contour Model for Brain Tumor SegmentationCode0
Learning from Pattern Completion: Self-supervised Controllable GenerationCode0
Animal Detection in Man-made EnvironmentsCode0
Learning to Bound: A Generative Cramér-Rao BoundCode0
More precise edge detectionsCode0
Object Contour Detection with a Fully Convolutional Encoder-Decoder NetworkCode0
Isolating phyllotactic patterns embedded in the secondary growth of sweet cherry (Prunus avium L.) using magnetic resonance imagingCode0
Holistically-Nested Edge DetectionCode0
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object PerimetersCode0
CASENet: Deep Category-Aware Semantic Edge DetectionCode0
Fast Segment AnythingCode0
Faster Training of Mask R-CNN by Focusing on Instance BoundariesCode0
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack DetectionCode0
Classification With an Edge: Improving Semantic Image Segmentation with Boundary DetectionCode0
Instance-level Human Parsing via Part Grouping NetworkCode0
Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function ConvolutionCode0
Fast Detection of Curved Edges at Low SNRCode0
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation TaskCode0
Bi-Directional Cascade Network for Perceptual Edge DetectionCode0
Compact Twice Fusion Network for Edge DetectionCode0
Enhancing Generic Segmentation with Learned Region RepresentationsCode0
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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