Abstract | ||
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The recyclability of domestic waste plays a crucial role in the modern society, which helps reduce multiple types of pollution and brings economic effect. To achieve this goal, garbage classification is one of the most important steps during the recycling process. Prevailing deep learning techniques empower high-performance visual recognition models and can benefit the automation of garbage classi... |
Year | DOI | Venue |
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2021 | 10.1109/TAI.2021.3081055 | IEEE Transactions on Artificial Intelligence |
Keywords | DocType | Volume |
Feature extraction,Visualization,Transfer learning,Noise measurement,Data models,Biological system modeling,Deep learning | Journal | 2 |
Issue | Citations | PageRank |
4 | 1 | 0.37 |
References | Authors | |
0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jianfei Yang | 1 | 221 | 23.81 |
Zhaoyang Zeng | 2 | 1 | 2.06 |
Kai Wang | 3 | 1734 | 195.03 |
Han Zou | 4 | 98 | 13.21 |
Lihua Xie | 5 | 5686 | 405.63 |