Task-aware asynchronous multi-task model with class incremental contrastive learning for surgical scene understanding.

The proposed multi-task model was able to adapt to domain shifts, incorporate novel instruments in the target domain, and perform tool-tissue interaction detection and report generation on par with single-task models.