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E-Commerce Picture Text Recognition Information System Based on Deep Learning
2022
Computational Intelligence and Neuroscience
For the accuracy requirements of commodity image detection and classification, the FPN network is improved by DPFM ablation and RFM, so as to improve the detection accuracy of commodities by the network. At the same time, in view of the narrowing of channels in the application of traditional MWI-DenseNet network, a new GTNet network is proposed to improve the classification accuracy of commodities.The results show that at different levels of evaluation indexes, the dpFPN-Netv2 algorithm
doi:10.1155/2022/9474245
pmid:35106064
pmcid:PMC8801320
fatcat:wpygvyragrgt5h3kvba4hs7gfy