A collection of edge detection papers and corresponding source code/demo program (a.k.a. contour detection or boundary detection). Feel free to create a PR or an issue. (Pull Request is …

Jul 1, 2023 · We propose a two-layer Node Edge-Graph Convolutional (NE-GConv) model which is sensitive to the intrusions in the node and edge features. A new aggregation function is …

May 8, 2025 · Each unique IP address within the flows is treated as a node, and each flow between IP addresses forms an edge. This structure creates the skeleton of the graph, which …

Jul 22, 2024 · Edge detection is a technique used to identify the boundaries of objects within images. It helps in simplifying the image data by reducing the amount of information to be …

Aug 11, 2023 · In this article, we are introducing the Fast Pixel based matching and contours mapping algorithms to compare the edges in reference and targeted frames using mask …

Oct 26, 2023 · To this end, this paper proposes novel Edge-Directed Graph Multi-Head Attention Networks (EDGMAT) for network intrusion detection. The proposed EDGMAT model …

Apr 23, 2025 · Therefore, this paper proposes an intrusion detection method based on graph edge attention and focus loss to solve the problem of low detection accuracy of existing …

Marr-Hildreth edge detector Key ideas: 1. Detect edges at tunable scale 2. Localize edges at zero crossing of second derivative To do both, convolve with Laplacian of Gaussian (LoG): G(x,y) = …

For improving the processing speed and accuracy of edge detection, an adaptive edge detection method based on improved NMS (nonmaximum suppression) was proposed in this paper.

Apr 26, 2017 · We evaluated the outlier edge detection algorithm that is based on the authentic score using injected edges in real-world graph data. Later, we show the great potentials of the …