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 301–325 of 490 papers

TitleStatusHype
Spatial Feature Extraction in Airborne Hyperspectral Images Using Local Spectral Similarity—0
Spatial Stimuli Gradient Sketch Model—0
Spinal ligaments detection on vertebrae meshes using registration and 3D edge detection—0
SREdgeNet: Edge Enhanced Single Image Super Resolution using Dense Edge Detection Network and Feature Merge Network—0
Statistical Edge Detection And UDF Learning For Shape Representation—0
Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentation—0
Stroke classification using Virtual Hybrid Edge Detection from in silico electrical impedance tomography data—0
Study of Efficient Technique Based On 2D Tsallis Entropy For Image Thresholding—0
Subpixel Edge Localization Based on Converted Intensity Summation under Stable Edge Region—0
Superresolution of Noisy Remotely Sensed Images Through Directional Representations—0
Supervised Semantic Gradient Extraction Using Linear-Time Optimization—0
Sylvester Matrix Based Similarity Estimation Method for Automation of Defect Detection in Textile Fabrics—0
Systematic review of image segmentation using complex networks—0
TEMImageNet Training Library and AtomSegNet Deep-Learning Models for High-Precision Atom Segmentation, Localization, Denoising, and Super-Resolution Processing of Atomic-Resolution Images—0
Temporal compressive edge imaging enabled by a lensless diffuser camera—0
Texture Edge detection by Patch consensus (TEP)—0
Texture Object Segmentation Based on Affine Invariant Texture Detection—0
The Color Clifford Hardy Signal: Application to Color Edge Detection and Optical Flow—0
The Image Torque Operator for Contour Processing—0
The leaky integrator that could: Or recursive polynomial regression for online signal analysis—0
Theory-guided Pseudo-spectral Full Waveform Inversion via Deep Neural Networks—0
Thermodynamic Cost of Edge Detection in Artificial Neural Network(ANN)-Based Processors—0
The Virtual Electromagnetic Interaction between Digital Images for Image Matching with Shifting Transformation—0
Three Birds One Stone: A General Architecture for Salient Object Segmentation, Edge Detection and Skeleton Extraction—0
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class 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