Cluster and Aggregate: Face Recognition with Large Probe Set Supplementary Material

The number of layers L in CN is equal to 2. For recent SoT A backbone models, the performance is saturated above 98 .5 . The performance gain is observed in both backbones. As the probe size increases, the role of a feature fusion model also increases. The relative performance gain for Fig.1 c) is calculated as We measured the FPS with Nvidia RTX3090. When a few samples' contribution is larger than the others Lower entropy value tells you that the cluster features are deviating from a simple average of all samples.