Quality Aware Network for Set to Set Recognition

Understand

This paper targets on the problem of set to set recognition, which learns the metric between two image sets.

• Images in each set belong to the same identity.
• Since images in a set can be complementary, they hopefully lead to higher accuracy in practical applications.
• However, the quality of each sample cannot be guaranteed, and samples with poor quality will hurt the metric.