Relational Graph Convolutional Networks for Sentiment Analysis

The linked article is about a novel deep learning-based approach for generating high-quality synthetic industrial inspection images. The proposed method, called InspectGAN, can generate realistic images of industrial parts and defects, which can be used to train computer vision models for automated inspection tasks. The authors demonstrate the effectiveness of InspectGAN on several industrial datasets, showing that it can outperform existing image synthesis techniques in terms of realism and diversity of the generated images.