Watchlist Adaptation: Protecting the Innocent

Abstract

One of the most important government applications of face recognition is the watchlist problem, where the goal is to identify a few people enlisted on a watchlist while ignoring the majority of innocent passersby. Since watchlists dynamically change and training times can be expensive, the deployed approaches use pre-trained deep networks only to provide deep features for face comparison. Since these networks never specifically trained on the operational setting or faces from the watchlist, the system will often confuse them with the Show more