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2“...State-of-the-art object detection approaches such as Fast/Faster R-CNN, SSD, or YOLO have...”
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6by Yingqiong Peng, Muxin Liao, Yuxia Song, Zhichao Liu, Huojiao He, Hong Deng, Yinglong Wang“..., are very complex to extract features of the fruit fly image for classification. Therefore, a bilinear CNN...”
Published 2020-01-01
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7“... switchable normalization-based convolutional neural network (SN-CNN). State-of-the-art accuracy was achieved...”
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12“...碩士 === 國立交通大學 === 多媒體工程研究所 === 103 === Deep-learning-based convolutional neural network (CNN) has...”
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15“... EnCNN-UPMWS, which is based on convolutional neural networks (CNNs) and an unequal precision measurement...”
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17by Carlos Iturrino Garcia, Francesco Grasso, Antonio Luchetta, Maria Cristina Piccirilli, Libero Paolucci, Giacomo Talluri“... Short Term Memory (LSTM), the Convolutional Neural Networks (CNN), the Convolutional Neural Networks...”
Published 2020-09-01
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18“... of normal to abnormal data is adjusted by duplicating and rotating the images. An R-CNN model and a Visual...”
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19by Somdip Dey, Amit Kumar Singh, Dilip Kumar Prasad, Klaus Dieter Mcdonald-Maier“... by visual convolutional neural network (CNN) based algorithm. Experimental results show high prediction...”
Published 2019-01-01
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20“... the Convolutional Neural Network (CNN) and then input into the GRU for prediction, called CNN-GRU. In the past, most...”
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