Figure 1. We consider continual test-time adaptive object detec-
tion, which adapts a source detector to changing environments
during inference. By focusing adaptation efforts on invariant
parts while pruning sensitive parts, we improve computational ef-
ficiency, which is crucial for resource-constrained scenarios like
autonomous driving or UAV.