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

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Showing 76–100 of 490 papers

TitleStatusHype
Applications of Tao General Difference in Discrete Domain—0
Application of sequential processing of computer vision methods for solving the problem of detecting the edges of a honeycomb block—0
SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss—0
Cross-Domain Evaluation of Edge Detection for Biomedical Event Extraction—0
A Novel Falling-Ball Algorithm for Image Segmentation—0
A Novel Edge Detection Operator for Identifying Buildings in Augmented Reality Applications—0
Convex Analysis of Mixtures for Separating Non-negative Well-grounded Sources—0
Contour Detection in Unstructured 3D Point Clouds—0
A Fingerprint-based Access Control using Principal Component Analysis and Edge Detection—0
Contour Detection Using Contrast Formulas in the Framework of Logarithmic Models—0
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation—0
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding—0
Context-Constrained Accurate Contour Extraction for Occlusion Edge Detection—0
An ocean front detection and tracking algorithm—0
A Feasibility study for Deep learning based automated brain tumor segmentation using Magnetic Resonance Images—0
Panoptic Edge Detection—0
Contour Detection in Cassini ISS images based on Hierarchical Extreme Learning Machine and Dense Conditional Random Field—0
CRAFT: A multifunction online platform for speech prosody visualisation—0
Custom Extended Sobel Filters—0
CMR motion artifact correction using generative adversarial nets—0
Color Image Edge Detection using Multi-scale and Multi-directional Gabor filter—0
Color Recognition in Challenging Lighting Environments: CNN Approach—0
Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation—0
Anomalous Edge Detection in Edge Exchangeable Social Network Models—0
Clutter Edges Detection Algorithms for Structured Clutter Covariance Matrices—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