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 251–300 of 490 papers

TitleStatusHype
Robust Detection of Extremely Thin Lines Using 0.2mm Piano Wire—0
Robust Edge-Direct Visual Odometry based on CNN edge detection and Shi-Tomasi corner optimization—0
Robust Real-time Ellipse Fitting Based on Lagrange Programming Neural Network and Locally Competitive Algorithm—0
RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting—0
Saliency Enhancement using Gradient Domain Edges Merging—0
Salient Object Detection With Pyramid Attention and Salient Edges—0
Scene Labeling with Contextual Hierarchical Models—0
Seeing Heat with Color -- RGB-Only Wildfire Temperature Inference from SAM-Guided Multimodal Distillation using Radiometric Ground Truth—0
Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection—0
Segmentation of Multiple Sclerosis lesion in brain MR images using Fuzzy C-Means—0
Segmentation overlapping wear particles with few labelled data and imbalance sample—0
Self-supervised Feature Extraction for Enhanced Ball Detection on Soccer Robots—0
Semantically Guided Depth Upsampling—0
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform—0
Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry—0
Sequential edge detection using joint hierarchical Bayesian learning—0
ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation—0
Shadow Optimization from Structured Deep Edge Detection—0
Shape Back-Projection In 3D Scenes—0
SHM-Traffic: DRL and Transfer learning based UAV Control for Structural Health Monitoring of Bridges with Traffic—0
Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network—0
Single Image Dehazing Algorithm Based on Sky Region Segmentation—0
SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes—0
SkyScapes -- Fine-Grained Semantic Understanding of Aerial Scenes—0
Small, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data—0
Smoothness-based Edge Detection using Low-SNR Camera for Robot Navigation—0
Snapshot Compressed Imaging Based Single-Measurement Computer Vision for Videos—0
Soccer line mark segmentation and classification with stochastic watershed transform—0
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
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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