“…Good performance of ResNet on image recognition and localization tasks showed that characterisation depth is of central importance for many visual recognition tasks. In the following years, excellent feature extraction networks such as ResNeXt, DenseNet, RegNet, SEnet, SKNet, etc ( Xie et al, 2017 ; Liu X. et al, 2021 ; Liu et al, 2021b ; Liu et al, 2021c ; Liu et al, 2021d ; Sun et al, 2020c ; Sun et al, 2020d ). were successively proposed, constantly refreshing the accuracy rate of tasks such as image classification.…”