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 401425 of 490 papers

TitleStatusHype
InstanceCut: from Edges to Instances with MultiCut0
Model-based Outdoor Performance Capture0
The Virtual Electromagnetic Interaction between Digital Images for Image Matching with Shifting Transformation0
Quantum spectral analysis: frequency in time, with applications to signal and image processing0
PixelNet: Towards a General Pixel-level Architecture0
Active Canny: Edge Detection and Recovery with Open Active Contour Models0
Fractional Calculus In Image Processing: A Review0
Edge Based Grid Super-Imposition for Crowd Emotion Recognition0
Semantically Guided Depth Upsampling0
Extracting Biomedical Event Using Feature Selection and Word Representation0
Object Boundary Detection and Classification with Image-level Labels0
Contour Detection in Unstructured 3D Point Clouds0
Learning Relaxed Deep Supervision for Better Edge Detection0
Kernel-Based Structural Equation Models for Topology Identification of Directed Networks0
On Image segmentation using Fractional Gradients-Learning Model Parameters using Approximate Marginal InferenceCode0
Edge Detection Based Shape Identification0
Object Contour Detection with a Fully Convolutional Encoder-Decoder NetworkCode0
Superresolution of Noisy Remotely Sensed Images Through Directional Representations0
Edge Detection for Pattern Recognition: A Survey0
A Critical Connectivity Radius for Segmenting Randomly-Generated, High Dimensional Data Points0
The Image Torque Operator for Contour Processing0
Automated Management of Pothole related Disasters Using Image Processing and Geotagging0
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding0
Learning Informative Edge Maps for Indoor Scene Layout Prediction0
Efficient Edge Detection on Low-Cost FPGAs0
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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