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

Showing 2650 of 490 papers

TitleStatusHype
Noise and Edge Based Dual Branch Image Manipulation DetectionCode1
Adaptive Linear Span Network for Object Skeleton DetectionCode1
Edge Augmentation for Large-Scale Sketch Recognition without SketchesCode1
EdgeNAT: Transformer for Efficient Edge DetectionCode1
Pre-processing Image using Brightening, CLAHE and RETINEXCode1
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic CoastlineCode1
GUI Element Detection Using SOTA YOLO Deep Learning ModelsCode1
Harmonic Convolutional Networks based on Discrete Cosine TransformCode1
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point CloudsCode1
FINED: Fast Inference Network for Edge DetectionCode1
Local Label Point Correction for Edge Detection of Overlapping Cervical CellsCode1
A Doubly Decoupled Network for edge detectionCode1
Extraction of cropland field parcels with high resolution remote sensing using multi-task learningCode1
Generation of Realistic Synthetic Raw Radar Data for Automated Driving Applications using Generative Adversarial NetworksCode1
LDC: Lightweight Dense CNN for Edge DetectionCode1
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language ModelsCode1
Leveraging edge detection and neural networks for better UAV localizationCode1
A new baseline for edge detection: Make Encoder-Decoder great againCode1
Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway ApplicationsCode1
Delving into Crispness: Guided Label Refinement for Crisp Edge DetectionCode1
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp SegmentationCode1
Euler: Detecting Network Lateral Movement via Scalable Temporal Link PredictionCode1
ECT: Fine-grained Edge Detection with Learned Cause TokensCode1
Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect SegmentationCode1
Geometric Structure Preserving Warp for Natural Image StitchingCode1
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DDNODS0.92Unverified
2DexiNedODS0.9Unverified
3BDCNODS0.89Unverified
4LDCODS0.89Unverified
5CATSODS0.89Unverified
6RCFODS0.85Unverified
#ModelMetricClaimedVerifiedStatus
1DexiNed-aODS0.89Unverified
2DexiNed-fODS0.89Unverified
3CATSODS0.89Unverified
4BDCNODS0.89Unverified
5LDCODS0.88Unverified
6RCFODS0.88Unverified
#ModelMetricClaimedVerifiedStatus
1DDNODS0.83Unverified
2TEEDODS0.83Unverified
3LDCODS0.82Unverified
4DexiNedODS0.82Unverified
5PiDiNetODS0.81Unverified
#ModelMetricClaimedVerifiedStatus
1LDCODS0.79Unverified
2PiDiNetODS0.79Unverified
3BDCNODS0.79Unverified
#ModelMetricClaimedVerifiedStatus
1SEDODS0.65Unverified
2DexiNed (WACV'2020)ODS0.65Unverified
#ModelMetricClaimedVerifiedStatus
1RPCNetAP86.15Unverified
2CASENetAP70.8Unverified
#ModelMetricClaimedVerifiedStatus
1CASENetMaximum F-measure71.4Unverified
2WSOBMaximum F-measure52Unverified
#ModelMetricClaimedVerifiedStatus
1RCNF10.82Unverified