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9 October 2022 Clothing label recognition based on improved Inception algorithm
Youqun Shi, Menghao Zhu
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Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 1224621 (2022) https://doi.org/10.1117/12.2643474
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China
Abstract
In order to solve the problem of time-consuming and laborious manual labeling of garment tags during the garment shelving process, an improved Inception-v4 garment tag recognition network is proposed. The introduction of residual connections to the Inception module in the recognition network speeds up convergence in the case of deeper networks. And the performance of the model is improved by using Soft Label and a loss function based on inter-class distance. Subsequently trained and tested on the Fashion AI dataset, the experimental results show that the method described in this paper achieves good performance with faster convergence and a 4.1% improvement in accuracy.
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Youqun Shi and Menghao Zhu "Clothing label recognition based on improved Inception algorithm", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 1224621 (9 October 2022); https://doi.org/10.1117/12.2643474
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KEYWORDS
Evolutionary algorithms
Detection and tracking algorithms
Convolution
Artificial intelligence
Image classification
Convolutional neural networks
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