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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 490 papers

TitleStatusHype
InstanceCut: from Edges to Instances with MultiCut—0
Model-based Outdoor Performance Capture—0
The Virtual Electromagnetic Interaction between Digital Images for Image Matching with Shifting Transformation—0
Quantum spectral analysis: frequency in time, with applications to signal and image processing—0
PixelNet: Towards a General Pixel-level Architecture—0
Active Canny: Edge Detection and Recovery with Open Active Contour Models—0
Fractional Calculus In Image Processing: A Review—0
Edge Based Grid Super-Imposition for Crowd Emotion Recognition—0
Semantically Guided Depth Upsampling—0
Extracting Biomedical Event Using Feature Selection and Word Representation—0
Object Boundary Detection and Classification with Image-level Labels—0
Contour Detection in Unstructured 3D Point Clouds—0
Learning Relaxed Deep Supervision for Better Edge Detection—0
Kernel-Based Structural Equation Models for Topology Identification of Directed Networks—0
On Image segmentation using Fractional Gradients-Learning Model Parameters using Approximate Marginal InferenceCode0
Edge Detection Based Shape Identification—0
Object Contour Detection with a Fully Convolutional Encoder-Decoder NetworkCode0
Superresolution of Noisy Remotely Sensed Images Through Directional Representations—0
Edge Detection for Pattern Recognition: A Survey—0
A Critical Connectivity Radius for Segmenting Randomly-Generated, High Dimensional Data Points—0
The Image Torque Operator for Contour Processing—0
Automated Management of Pothole related Disasters Using Image Processing and Geotagging—0
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding—0
Learning Informative Edge Maps for Indoor Scene Layout Prediction—0
Efficient Edge Detection on Low-Cost FPGAs—0
PASCAL Boundaries: A Class-Agnostic Semantic Boundary Dataset—0
Weakly Supervised Object Boundaries—0
Identification and Counting White Blood Cells and Red Blood Cells using Image Processing Case Study of Leukemia—0
Unsupervised Learning of Edges—0
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform—0
A modified ant colony based approach to digital image edge detectionCode0
Is Image Super-resolution Helpful for Other Vision Tasks?—0
Dictionary based Approach to Edge Detection—0
A Comparative Analysis of Retrieval Techniques In Content Based Image Retrieval—0
Optical images-based edge detection in Synthetic Aperture Radar images—0
Multiscale edge detection and parametric shape modeling for boundary delineation in optoacoustic images—0
Fast Detection of Curved Edges at Low SNRCode0
Algorithmic Analysis of Edge Ranking and Profiling for MTF Determination of an Imaging System—0
Shadow Optimization from Structured Deep Edge Detection—0
Convolutional Channel FeaturesCode0
Holistically-Nested Edge DetectionCode0
Edge Detection Based on Global and Local Parameters of the Image—0
An approach to improving edge detection for facial and remotely sensed images using vector order statistics—0
Edge Detection: A Collection of Pixel based Approach for Colored Images—0
Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications—0
Spatial Stimuli Gradient Sketch Model—0
A Fingerprint-based Access Control using Principal Component Analysis and Edge Detection—0
Learning Contour-Fragment-based Shape Model with And-Or Tree Representation—0
Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks—0
Contour Detection Using Contrast Formulas in the Framework of Logarithmic Models—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