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27 June 2023 Garbage classification model integrating attention mechanism
Zhen Ye, Kangdi Yin, Lin Bai
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Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 127051C (2023) https://doi.org/10.1117/12.2680654
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China
Abstract
In this paper, we propose a garbage classification model that integrates the attention mechanism and multiple network optimization methods. First, we construct a four-category primary network for recyclable garbage, kitchen garbage, hazardous garbage, and other garbage. And then, four secondary networks are constructed to map the above 4 primary categories to 40 secondary classes. Both the primary and secondary networks take Resnet101 as the main backbone network and integrate attention mechanism, Focal loss function, and warm-up learning rate. The experimental results prove that the proposed model has a high classification performance for the HUAWEI cloud garbage classification dataset.
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Zhen Ye, Kangdi Yin, and Lin Bai "Garbage classification model integrating attention mechanism", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 127051C (27 June 2023); https://doi.org/10.1117/12.2680654
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KEYWORDS
Deep learning
Feature extraction
Image classification
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