#cross-city-generalization News & Analysis

AQIFormer: A Transformer-Based Multi-View Architecture for Cross-City Air Quality Classification

Researchers have developed AQIFormer, a transformer-based AI system that estimates air quality from traffic camera imagery combined with weather data. The model achieves 89.96% accuracy on training data and maintains strong cross-city generalization with 81.67% accuracy on independent Indian datasets, significantly outperforming existing methods.