polish my writting
In this section, we compare our proposed NAME_1 with the Inplace-ABN~\citep{bulo_-place_2018}, a previous memory reduction method. We conducted transfer learning experiments on the Aircraft dataset with the same settings of section \ref{sec:classification}. For Inplace-ABN, we trace the BN-ReLU patterns in the pretrained network and replace them with the Inplace-ABN blocks. Results are summarized in Table \ref{tbl:inplace_abn}. In transfer learning scenarios, Inplace-ABN block saved approximately 16\% memory but incur significant performance deterioration and about 8\% time overhead.