“…To further verify the validity of this article, we produced Tables 3 – 6 . we compared the algorithms with classical ones (Vgg16 ( Sitaula & Hossain, 2021 ), Resnet50 ( Wen, Li & Gao, 2020 ), Densenet121 ( Zhang et al, 2019 ), ResNext_34×4d-50 ( Zhou, Zhao & Wu, 2021 ), ShuffleNetV2 ( Vu, Le & Wang, 2022 ) and Mobilenetv3_ large ( Chen et al, 2022 )), advanced algorithms (Conformer ( Guo et al, 2021 ), RepMLP_B224 ( Ding et al, 2021a ), RepVGG_D2se ( Ding et al, 2021b ), ConvMixer ( Ng et al, 2022 ), and Hornet-L-GF ( Rao et al, 2022 )), transformer algorithms (DeiT-base ( Touvron et al, 2021 ), PoolFormer_M48 ( Yu et al, 2022 ), SVT_large ( Fan et al, 2022 ), EfficientFormer-l7 ( Li et al, 2022b ) and MViTv2_large ( Li et al, 2022a )) and similar algorithms for experimental comparison.…”