  This report presents a brief description of our winning solution to the AVA
Active Speaker Detection (ASD) task at ActivityNet Challenge 2022. Our
underlying model UniCon+ continues to build on our previous work, the Unified
Context Network (UniCon) and Extended UniCon which are designed for robust
scene-level ASD. We augment the architecture with a simple GRU-based module
that allows information of recurring identities to flow across scenes through
read and update operations. We report a best result of 94.47% mAP on the
AVA-ActiveSpeaker test set, which continues to rank first on this year's
challenge leaderboard and significantly pushes the state-of-the-art.
