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 326350 of 490 papers

TitleStatusHype
Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest PathCode0
EdgeNet: Semantic Scene Completion from a Single RGB-D ImageCode0
Edge-Aware Deep Image Deblurring0
AddGraph_ Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN0
Efficient Neural Network Approaches for Leather Defect Classification0
Edge-Direct Visual OdometryCode0
Recognizing License Plates in Real-Time0
Panoptic Edge Detection0
Adversarial Examples for Edge Detection: They Exist, and They Transfer0
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-SupervisionCode0
Orthogonal Decomposition Network for Pixel-Wise Binary Classification0
Salient Object Detection With Pyramid Attention and Salient Edges0
SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss0
Object Contour and Edge Detection with RefineContourNetCode0
A new Edge Detector Based on Parametric Surface Model: Regression Surface Descriptor0
An image structure model for exact edge detection0
Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry0
Context-Constrained Accurate Contour Extraction for Occlusion Edge Detection0
CRAFT: A multifunction online platform for speech prosody visualisation0
An Efficient Edge Detection Approach to Provide Better Edge Connectivity for Image Analysis0
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection0
Bi-Directional Cascade Network for Perceptual Edge DetectionCode0
Dynamic Feature Fusion for Semantic Edge DetectionCode0
Deep Learning for Low-Dose CT Denoising0
Compressed ghost edge imaging0
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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
2BDCNODS0.79Unverified
3PiDiNetODS0.79Unverified
#ModelMetricClaimedVerifiedStatus
1SEDODS0.65Unverified
2DexiNed (WACV'2020)ODS0.65Unverified
#ModelMetricClaimedVerifiedStatus
1RPCNetAP86.15Unverified
2CASENetAP70.8Unverified
#ModelMetricClaimedVerifiedStatus
1CASENetMaximum F-measure71.4Unverified
2WSOBMaximum F-measure52Unverified
#ModelMetricClaimedVerifiedStatus
1RCNF10.82Unverified