Edge Detection
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Benchmarks
BIPED
MDBD
UDED
BRIND
CID
Cityscapes test
SBD
BSDS500
Most implemented
Holistically-Nested Edge Detection
CASENet: Deep Category-Aware Semantic Edge Detection
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
Sanity Checks for Saliency Maps
Papers
Enhanced Deformable Convolution with Center-invariant Offset and Edge-aware Mask
Deformable convolution networks have recently become popular for many computer vision tasks, especially for semantic segmentation, because of their exceptional capabilities in dynamic spatial modeling. However, due to th…
Semantic SegmentationImage ClassificationEdge DetectionAI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation
In sixth-generation (6G) networks, billions of cyber-physical systems (CPSs) - autonomous vehicles, smart grids, industrial robots, and remote-surgical equipment - will run over ultra-reliable low-latency slices, collaps…
Autonomous VehiclesFederated LearningAnomaly DetectionEdge DetectionD2-CDIG: Controlled Diffusion Remote Sensing Image Generation with Dual Priors of DEM and Cloud-Fog
Remote sensing image generation provides a reliable data foundation for remote sensing large models and downstream tasks. However, existing controllable remote sensing image generation methods typically rely on tradition…
Image GenerationEdge Detection$\mathcal{B}^{3}$-Net: Controlled Posterior Bridge Learning for Multi-Task Dense Prediction
Multi-task dense prediction solves complementary pixel-level tasks in a unified model, such as semantic segmentation, depth estimation, surface normal estimation, and edge detection. Existing decoder-side interactions us…
Semantic SegmentationDepth EstimationEdge DetectionSpecEdit: Training-Free Acceleration for Diffusion based Image Editing via Semantic Locking
Diffusion-based image editing offers strong semantic controllability, but remains computationally expensive due to iterative high-resolution denoising over all spatial tokens. Dynamic-resolution sampling reduces this cos…
Edge DetectionImage EditingQuantum Gradient-Based Approach for Edge and Corner Detection Using Sobel Kernels
Edge detection refers to identifying points in a digital image where intensity changes sharply, indicating object boundaries or structural features. Corners are locations where gray-level intensity changes abruptly in mu…
Object TrackingEdge Detection