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Central Attention and a Dual Path Convolutional Neural Network in Real-World Tree Species Recognition

机译：中央注意力和实际树种识别中的双路卷积神经网络

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Yi Chung; Chih-Ang Chou; Chih-Yang Li;
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年度 2021
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1. Real-world plant species identification based on deep convolutional neural networks and visual attention [J] . Xiao Qingguo, Li Guangyao, Xie Li, Ecological informatics: an international journal on ecoinformatics and computational ecology . 2018,第期

机译：基于深度卷积神经网络和视觉关注的现实世界植物物种识别
2. Multiscale Convolutional Neural Networks with Attention for Plant Species Recognition [J] . Xianfeng Wang, Chuanlei Zhang, Shanwen Zhang Computational intelligence and neuroscience . 2021,第a期

机译：多尺度卷积神经网络，植物物种识别
3. Deep multi-path convolutional neural network joint with salient region attention for facial expression recognition [J] . Xie Siyue, Hu Haifeng, Wu Yongbo Pattern Recognition: The Journal of the Pattern Recognition Society . 2019,第期

机译：深度多路径卷积神经网络关节，具有面部表情识别的突出区域关注
4. Lidar-based Individual Tree Species Classification using Convolutional Neural Network [C] . Tomohiro Mizoguchi, Akira Ishii, Hiroyuki Nakamura, Videometrics, range imaging, and applications XIV . 2017

机译：基于卷积神经网络的基于激光雷达的个体树种分类
5. Using Attention to Prune Convolutional Neural Networks [D] . Dubey, Vinayak. 2021

机译：用注意力卷积神经网络
6. Multiscale Convolutional Neural Networks with Attention for Plant Species Recognition [O] . Xianfeng Wang, Chuanlei Zhang, Shanwen Zhang 2021

机译：多尺度卷积神经网络植物物种识别
7. Real-world plant species identification based on deep convolutional neural networks and visual attention [O] . Qingguo Xiao, Guangyao Li, Li Xie, 2018

机译：基于深度卷积神经网络和视觉关注的现实世界植物物种识别

Central Attention and a Dual Path Convolutional Neural Network in Real-World Tree Species Recognition

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