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 426450 of 490 papers

TitleStatusHype
Adaptive edge detection algorithm for multi-focus applicationCode0
The magnitude vector of imagesCode0
Computer vision-based framework for extracting geological lineaments from optical remote sensing dataCode0
Instance-level Human Parsing via Part Grouping NetworkCode0
Transfer Learning in Large-scale Gaussian Graphical Models with False Discovery Rate ControlCode0
Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven RealmCode0
Isolating phyllotactic patterns embedded in the secondary growth of sweet cherry (Prunus avium L.) using magnetic resonance imagingCode0
3D-OOCS: Learning Prostate Segmentation with Inductive BiasCode0
Fast Segment AnythingCode0
Compact Twice Fusion Network for Edge DetectionCode0
Faster Training of Mask R-CNN by Focusing on Instance BoundariesCode0
Simultaneous Edge Alignment and LearningCode0
Fast Detection of Curved Edges at Low SNRCode0
An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine CompositesCode0
Classification With an Edge: Improving Semantic Image Segmentation with Boundary DetectionCode0
PENet: A Joint Panoptic Edge Detection NetworkCode0
Learning Deep Morphological Networks with Neural Architecture SearchCode0
Learning from Pattern Completion: Self-supervised Controllable GenerationCode0
CASENet: Deep Category-Aware Semantic Edge DetectionCode0
Animal Detection in Man-made EnvironmentsCode0
Phase-Stretch Adaptive Gradient-Field Extractor (PAGE)Code0
TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task ConsistencyCode0
Learning to Bound: A Generative Cramér-Rao BoundCode0
Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function ConvolutionCode0
About Graph Degeneracy, Representation Learning and ScalabilityCode0
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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