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 2650 of 490 papers

TitleStatusHype
Snapshot Compressed Imaging Based Single-Measurement Computer Vision for Videos0
Stroke classification using Virtual Hybrid Edge Detection from in silico electrical impedance tomography data0
Enhanced Extractor-Selector Framework and Symmetrization Weighted Binary Cross-Entropy for Edge Detections0
EDMB: Edge Detector with MambaCode1
Gaussian Masked Autoencoders0
Pixel-Wise Feature Selection for Perceptual Edge Detection without post-processing0
MIRE: Matched Implicit Neural Representations0
Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge DeploymentCode0
Synthetic Data Generation for Anomaly Detection on Table GrapesCode0
SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge DetectionCode1
Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining0
Spinal ligaments detection on vertebrae meshes using registration and 3D edge detection0
Fall Leaf Adversarial Attack on Traffic Sign Classification0
semantic image synthesis of anime characters based on conditional generative adversarial networksCode0
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy0
Defective Edge Detection Using Cascaded Ensemble Canny Operator0
Transforming Engineering Diagrams: A Novel Approach for P&ID Digitization using Transformers0
WavShadow: Wavelet Based Shadow Segmentation and Removal0
Deep Learning for Leopard Individual Identification: An Adaptive Angular Margin ApproachCode0
Cutting-Edge Detection of Fatigue in Drivers: A Comparative Study of Object Detection Models0
Leveraging Spatial Attention and Edge Context for Optimized Feature Selection in Visual Localization0
Generative Edge Detection with Stable Diffusion0
Learning from Pattern Completion: Self-supervised Controllable GenerationCode0
Photon Inhibition for Energy-Efficient Single-Photon Imaging0
EfficientCrackNet: A Lightweight Model for Crack Segmentation0
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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