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CADNet - GitHub CADNet Code for Graph Representation of 3D CAD models for Machining Feature Recognition with Deep Learning paper This is an approach using graph neural networks to learning from planar B-Rep CAD models In the paper, focus was given towards the machining feature recognition task
News - CADNET Dataset This is the repository for the ‘CADNET’ Dataset, associated with the paper “A Convolutional Neural Network Approach to the Classification of Engineering Models”
论文阅读 CAD-Net: A Context-Aware Detection Network . . . - CSDN博客 Extensive experiments over two public available datasets verify the uniqueness of object detection in remote sensing images, and also show that the proposed CADNet achieves superior object detection performance as compared with state-of-the-art techniques
Hierarchical CADNet: Learning from B-Reps for Machining Feature . . . Within each experiment, two versions of Hierarchical CADNet are tested One utilizes the edge convexity information denoted as Hierarchical CADNet (Edge) and the second uses only the B-Rep face adjacency matrix denoted Hierarchical CADNet (Adj)
CAD-Net: A Context-Aware Detection Network for Objects in Remote . . . The contributions of this work are fourfold First, it de-signs an innovative context-aware network to learn global and local contexts for optimal object detection in optical remote sensing images To the best of our knowledge, this is the first work to incorporate global and local contextual information for object detection in remote sensing images Second, it designs a spatial-and-scale