Before revision:  Particularly, our AOT-L outperforms all the state-of-the-art competitors on three popular benchmarks, i.e., YouTube-VOS (83.7\% J&F), DAVIS 2017 (83.0\%), and DAVIS 2016 (91.0\%), while keeping better multi-object efficiency .
After revision:  Particularly, our AOT-L outperforms all the state-of-the-art competitors on three popular benchmarks, i.e., YouTube-VOS (83.7\% J&F), DAVIS 2017 (83.0\%), and DAVIS 2016 (91.0\%), while keeping better multi-object run-time .