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國立臺灣大學電機資訊學院資訊工程學系 碩士論文 基於深度 ...

By applying this new layer to the VGG-16 and. ResNet-152, we achieve the recognition rates of 83.6% and 85.8% on the. Caltech-UCSD bird benchmark, respectively.

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