TAVIS: A Benchmark for Egocentric Active Vision and Anticipatory Gaze in Imitation Learning
TAVIS introduces a new evaluation infrastructure to test imitation learning policies that use active vision, where a policy controls its own gaze during manipulation. It compares different active vision tasks and conditions using two task suites and novel metrics like GALT, providing a shared benchmark for this emerging field.