Scalable Fine-grained Generated Image Classification Based on Deep Metric Learning

Understand

Recently, generated images could reach very high quality, even human eyes could not tell them apart from real images.

• Although there are already some methods for detecting generated images in current forensic community, most of these methods are used to detect a single type of generated images.
• The new types of generated images are emerging one after another, and the existing detection methods cannot cope well.
• These problems prompted us to propose a scalable framework for multi-class classification based on deep metric learning, which aims to classify the generated images finer.