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 176–200 of 490 papers

TitleStatusHype
Road detection via a dual-task network based on cross-layer graph fusion modules—0
Color Image Edge Detection using Multi-scale and Multi-directional Gabor filter—0
Traditional methods in Edge, Corner and Boundary detection—0
Adaptive Active Contour Model for Brain Tumor SegmentationCode0
Dual-space Compressed Sensing—0
Noise and Edge Based Dual Branch Image Manipulation DetectionCode1
LDC: Lightweight Dense CNN for Edge DetectionCode1
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields—0
The leaky integrator that could: Or recursive polynomial regression for online signal analysis—0
MulT: An End-to-End Multitask Learning TransformerCode1
Wasserstein Image Local Analysis: Histogram of Orientations, Smoothing and Edge Detection—0
Euler: Detecting Network Lateral Movement via Scalable Temporal Link PredictionCode1
Total Variation Optimization Layers for Computer VisionCode1
End-to-End Instance Edge Detection—0
Edge Detection and Deep Learning Based SETI Signal Classification Method—0
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing—0
A hybrid quantum image edge detector for the NISQ era—0
One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning—0
EDTER: Edge Detection with TransformerCode2
Learning to Bound: A Generative Cramér-Rao BoundCode0
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation—0
Edge Augmentation for Large-Scale Sketch Recognition without SketchesCode1
Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection—0
Feature reconstruction from incomplete tomographic data without detour—0
Malaria detection in Segmented Blood Cell using Convolutional Neural Networks and Canny Edge Detection—0
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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