*4.2. Ablation Study*

In this section, we conduct a series of experiments to verify the effectiveness of important improvements in RBFA-Net. They are a balanced-attention feature pyramid network (BAFPN), an anchor-guided feature alignment network (AFAN) and a task decoupling

module (TDM). In addition, we also qualitatively explain the improvement brought about by each import module combined with the test results.

Table 4 quantitatively shows the impact of each important improvement on detection accuracy. The '✔' Table 4 means with the module, and the '**- -**' means without the module. in Our RBFA-Net is designed on the basis of RetinaNet. It can be seen from the results that with the addition of these improvements, the detection accuracy of the network gradually improves.

