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 301–350 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
Towards Fast and Accurate Segmentation—0
Traditional methods in Edge, Corner and Boundary detection—0
Training-free Quantum-Inspired Image Edge Extraction Method—0
MIMT: Multi-Illuminant Color Constancy via Multi-Task Local Surface and Light Color Learning—0
Transforming Engineering Diagrams: A Novel Approach for P&ID Digitization using Transformers—0
Tropical Geometry Based Edge Detection Using Min-Plus and Max-Plus Algebra—0
TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo—0
Surface Damage Detection Scheme using Convolutional Neural Network and Artificial Neural Network—0
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data—0
Unsupervised Classification of Intrusive Igneous Rock Thin Section Images using Edge Detection and Colour Analysis—0
Unsupervised Learning of Edges—0
U-R-VEDA: Integrating UNET, Residual Links, Edge and Dual Attention, and Vision Transformer for Accurate Semantic Segmentation of CMRs—0
Using Genetic Algorithm To Evolve Cellular Automata In Performing Edge Detection—0
Vision-Based Incoming Traffic Estimator Using Deep Neural Network on General Purpose Embedded Hardware—0
Visual Odometry for Pixel Processor Arrays—0
Wasserstein Image Local Analysis: Histogram of Orientations, Smoothing and Edge Detection—0
Wave-based extreme deep learning based on non-linear time-Floquet entanglement—0
WavShadow: Wavelet Based Shadow Segmentation and Removal—0
Weak Edge Identification Nets for Ocean Front Detection—0
Weakly Supervised Object Boundaries—0
MuGE: Multiple Granularity Edge Detection—0
Adversarial Examples for Edge Detection: They Exist, and They Transfer—0
Panoptic Edge Detection—0
Deep Local Global Refinement Network for Stent Analysis in IVOCT Images—0
3D Density-Gradient based Edge Detection on Neural Radiance Fields (NeRFs) for Geometric Reconstruction—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