论文标题
神经网络着眼于莱昂纳多（？）救助家蒙迪（Mundi）
A Neural Network Looks at Leonardo's(?) Salvator Mundi
论文作者
论文摘要
我们使用卷积神经网络（CNN）来分析围绕莱昂纳多·达·芬奇作品的作者问题 - 特别是Salvator Mundi，这是世界上最昂贵的绘画，也是最有争议的。接受了研究艺术家的作品和其他艺术家的视觉比较作品的培训，我们的系统可以识别可能的伪造和阐明归因争议。莱昂纳多（Leonardo）现有的绘画测试了我们系统的限制，并需要进行测试和分析的佐证技术。
We use convolutional neural networks (CNNs) to analyze authorship questions surrounding the works of Leonardo da Vinci -- in particular, Salvator Mundi, the world's most expensive painting and among the most controversial. Trained on the works of an artist under study and visually comparable works of other artists, our system can identify likely forgeries and shed light on attribution controversies. Leonardo's few extant paintings test the limits of our system and require corroborative techniques of testing and analysis.
