Task-adaptive Q-Face

Understand

Although face analysis has achieved remarkable improvements in the past few years, designing a multi-task face analysis model is still challenging.

• Most face analysis tasks are studied as separate problems and do not benefit from the synergy among related tasks.
• In this work, we propose a novel task-adaptive multi-task face analysis method named as Q-Face, which simultaneously performs multiple face analysis tasks with a unified model.
• We fuse the features from multiple layers of a large-scale pre-trained model so that the whole model can use both local and global facial information to support multiple tasks.