Publication at Faculty of Mathematics and Physics |
2022
Abstract
The design of efficient yet robust methods for real-time image classification belongs to scorching topics in contemporary AI, particularly in the case of mobile and edge devices. This paper thoroughly reviews the structure, performance, and main characteristics of neural networks proposed explicitly for mobile devices, e.g., MobileNet, and EfficientNet,.
Based on the obtained results, we introduce a mobile-phone application to classify cars we might see on the street and search for nearby car dealerships, e.g., to buy a car similar to that one of interest.