Experiments conducted on eight benchmark datasets demonstrate that our proposed architecture promotes local feature driven models by a substantial margin and outperforms the previous best models in the fully-supervised setting.
the Encoder1 serves as a pioneer for providing global information, while the Encoder2 focuses on extracting better local features by incorporating the former into the local extraction procedure.