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
Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain ActivityCode0
Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven RealmCode0
Enhancing Generic Segmentation with Learned Region RepresentationsCode0
Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation MapsCode0
Spatial Feature Extraction in Airborne Hyperspectral Images Using Local Spectral Similarity—0
A Review of methods for Textureless Object Recognition—0
Animal Detection in Man-made EnvironmentsCode0
Liver Segmentation from Multimodal Images using HED-Mask R-CNN—0
A novel centroid update approach for clustering-based superpixel methods and superpixel-based edge detectionCode0
Method of detecting the defects of the end face of steel coils—0
Kornia: an Open Source Differentiable Computer Vision Library for PyTorchCode1
SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes—0
Stacked Cross Refinement Network for Edge-Aware Salient Object DetectionCode0
Custom Extended Sobel Filters—0
Learning Pixel Representations for Generic Segmentation—0
Deep Local Global Refinement Network for Stent Analysis in IVOCT Images—0
Weak Edge Identification Nets for Ocean Front Detection—0
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge DetectionCode1
DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite ImagesCode0
Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task—0
Contour Detection in Cassini ISS images based on Hierarchical Extreme Learning Machine and Dense Conditional Random Field—0
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 Deblurring—0
AddGraph_ Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN—0
Efficient Neural Network Approaches for Leather Defect Classification—0
Recognizing License Plates in Real-Time—0
Edge-Direct Visual OdometryCode0
Panoptic Edge Detection—0
Adversarial Examples for Edge Detection: They Exist, and They Transfer—0
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-SupervisionCode0
Salient Object Detection With Pyramid Attention and Salient Edges—0
Orthogonal Decomposition Network for Pixel-Wise Binary Classification—0
SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss—0
Object Contour and Edge Detection with RefineContourNetCode0
A new Edge Detector Based on Parametric Surface Model: Regression Surface Descriptor—0
An image structure model for exact edge detection—0
Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry—0
Context-Constrained Accurate Contour Extraction for Occlusion Edge Detection—0
CRAFT: A multifunction online platform for speech prosody visualisation—0
An Efficient Edge Detection Approach to Provide Better Edge Connectivity for Image Analysis—0
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection—0
Bi-Directional Cascade Network for Perceptual Edge DetectionCode0
Deep Learning for Low-Dose CT Denoising—0
Dynamic Feature Fusion for Semantic Edge DetectionCode0
Compressed ghost edge imaging—0
CMR motion artifact correction using generative adversarial nets—0
Evaluating the Effectiveness of Automated Identity Masking (AIM) Methods with Human Perception and a Deep Convolutional Neural Network (CNN)—0
Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function ConvolutionCode0
Rhythm Zone Theory: Speech Rhythms are Physical after all—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
2PiDiNetODS0.79—Unverified
3BDCNODS0.79—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