Concurrent emergence of view invariance, sensitivity to critical features, and identity face classification through visual experience: Insights from deep learning algorithms
Mandy Rosemblaum, Nitzan Guy, Idan Daniel Grosbard, Libi Kliger, Naphtali Abudarham, Galit Yovel
This study shows that increasing face image diversity during training improves deep networks' view invariance, sensitivity to critical facial features, and classification performance.
Journal of Vision · Jul 1, 2025Peer-reviewedNeuroscience