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 151–200 of 490 papers

TitleStatusHype
Effective Video Mirror Detection with Inconsistent Motion CuesCode0
MuGE: Multiple Granularity Edge Detection—0
Deep transfer learning for visual analysis and attribution of paintings by RaphaelCode0
A fast numerical algorithm for finding all real solutions to a system of N nonlinear equations in a finite domain—0
Cable Slack Detection for Arresting Gear Application using Machine Vision—0
DiffSLVA: Harnessing Diffusion Models for Sign Language Video AnonymizationCode0
Depth Insight -- Contribution of Different Features to Indoor Single-image Depth Estimation—0
Vision-Based Incoming Traffic Estimator Using Deep Neural Network on General Purpose Embedded Hardware—0
FaultSeg Swin-UNETR: Transformer-Based Self-Supervised Pretraining Model for Fault Recognition—0
Research on Key Technologies of Infrastructure Digitalization based on Multimodal Spatial Data—0
Quantum image edge detection based on eight-direction Sobel operator for NEQR—0
3D Density-Gradient based Edge Detection on Neural Radiance Fields (NeRFs) for Geometric Reconstruction—0
Temporal compressive edge imaging enabled by a lensless diffuser camera—0
DeNISE: Deep Networks for Improved Segmentation Edges—0
A Pseudo-Boolean Polynomials Approach for Image Edge DetectionCode0
Pseudo-Boolean Polynomials Approach To Edge Detection And Image Segmentation—0
Practical Edge Detection via Robust Collaborative LearningCode0
TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo—0
R-C-P Method: An Autonomous Volume Calculation Method Using Image Processing and Machine Vision—0
The Color Clifford Hardy Signal: Application to Color Edge Detection and Optical Flow—0
Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion ApproachesCode0
Hybrid quantum transfer learning for crack image classification on NISQ hardware—0
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise TransitionsCode0
Compact Twice Fusion Network for Edge DetectionCode0
A Deep Active Contour Model for Delineating Glacier Calving Fronts—0
XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importanceCode0
Fast Segment AnythingCode0
Hierarchical Multiresolution Feature- and Prior-based Graphs for Classification—0
SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose EstimationCode0
Hybrid algorithm for the detection of turbulent flame fronts—0
Multi-Class Segmentation of Heterogeneous Areas in Biomedical and Environmental Images Based on the Assessment of Local Edge Density—0
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering—0
Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation—0
PENet: A Joint Panoptic Edge Detection NetworkCode0
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object PerimetersCode0
Automatic Detection and Rectification of Paper Receipts on Smartphones—0
Sequential edge detection using joint hierarchical Bayesian learning—0
Edge-weighted pFISTA-Net for MRI Reconstruction—0
Dual-mode adaptive-SVD ghost imaging—0
ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation—0
Eulerian Single-Photon Vision—0
EDoG: Adversarial Edge Detection For Graph Neural Networks—0
Hardware Acceleration of Lane Detection Algorithm: A GPU Versus FPGA Comparison—0
Real Time Incremental Image Mosaicking Without Use of Any Camera Parameter—0
Dunhuang murals contour generation network based on convolution and self-attention fusion—0
MIMT: Multi-Illuminant Color Constancy via Multi-Task Local Surface and Light Color Learning—0
Quantum-Inspired Edge Detection Algorithms Implementation using New Dynamic Visual Data Representation and Short-Length Convolution Computation—0
BoundED: Neural Boundary and Edge Detection in 3D Point Clouds via Local Neighborhood Statistics—0
Multi-Task Meta Learning: learn how to adapt to unseen tasksCode0
TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task ConsistencyCode0
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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