: 14h00, ngày 10/05/2024 (Thứ Sáu)
: P104 D3
: Machine Learning và Data Mining
: Nguyễn Hoàng Sơn
: CTTN Toán Tin, ĐH Bách Khoa Hà Nội
Tóm tắt báo cáo
Currently, face identification is widely used to address various tasks such as attendance tracking, timekeeping, etc. To develop a flexible system, it is necessary to address individual cases, one of which is identifying faces wearing masks. Masked face identification presents a significant, ill-posed challenge to face identification as the AI has to rely only on incomplete or noisy facial features to make decisions. In this talk, we discuss somes approaches to addressing this problem.