4.2.1. Effect of BAFPN

Table 5 shows the ablation study results on BAFPN. We compare the detection results using FPN. The two networks used in the experiment are completely consistent, except for the FPN part. One network uses FPN, the other uses BAFPN to extract feature maps. Both networks contain AGFAN and task decoupling module in RDN. The results show that using BAFPN can improve the detection and classification accuracy. By using BAFPN, we can fuse multi-scale ship features and pay attention to the global information, so as to improve our detection and classification accuracy.

**Table 5.** Effectiveness of Balanced-FPN.

