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 451–490 of 490 papers

TitleStatusHype
DeNISE: Deep Networks for Improved Segmentation Edges—0
Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task—0
Depth Insight -- Contribution of Different Features to Indoor Single-image Depth Estimation—0
Detection algorithm of defects on polyethylene gas pipe using image recognition—0
DHOG: Deep Hierarchical Object Grouping—0
Dictionary based Approach to Edge Detection—0
Dilated filters for edge detection algorithms—0
Directional Lifting Wavelet Transform for Image Edge Analysis—0
Dual-mode adaptive-SVD ghost imaging—0
Dual-space Compressed Sensing—0
Dual-stream CNN: Joint Edge and Object for Nucleus Segmentation—0
Dunhuang murals contour generation network based on convolution and self-attention fusion—0
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton—0
EDCSSM: Edge Detection with Convolutional State Space Model—0
Edge-adaptive l2 regularization image reconstruction from non-uniform Fourier data—0
Edge and Corner Detection for Unorganized 3D Point Clouds with Application to Robotic Welding—0
Edge-Aware Deep Image Deblurring—0
Edge Based Grid Super-Imposition for Crowd Emotion Recognition—0
Edge Detection: A Collection of Pixel based Approach for Colored Images—0
Edge Detection and Deep Learning Based SETI Signal Classification Method—0
Edge-detection applied to moving sand dunes on Mars—0
Edge Detection based on Channel Attention and Inter-region Independence Test—0
Edge Detection Based on Global and Local Parameters of the Image—0
Edge Detection based on Kernel Density Estimation—0
Edge Detection Based Shape Identification—0
Edge Detection for Pattern Recognition: A Survey—0
Edge Detection for Satellite Images without Deep Networks—0
Edge Detection in Radar Images Using Weibull Distribution—0
Edge detection of binary images using the method of masks—0
Edge Detection using Stationary Wavelet Transform, HMM, and EM algorithm—0
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation—0
Edge-preserving Image Denoising via Multi-scale Adaptive Statistical Independence Testing—0
EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching—0
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection—0
Edge-weighted pFISTA-Net for MRI Reconstruction—0
EDoG: Adversarial Edge Detection For Graph Neural Networks—0
Effective Features of Remote Sensing Image Classification Using Interactive Adaptive Thresholding Method—0
EfficientCrackNet: A Lightweight Model for Crack Segmentation—0
Efficient Edge Detection on Low-Cost FPGAs—0
Efficient Licence Plate Detection By Unique Edge Detection Algorithm and Smarter Interpretation Through IoT—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