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机译:使用侧窗卷积神经网络快速有效地实现图像滤波
College of Electronics and Information Engineering Shenzhen University China Guangdong Key Lab for Intelligent Information Processing Shenzhen China Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics for Society China School of Intelligent Manufacturing and Equipment Shenzhen Institute of Information Technology China;
College of Electronics and Information Engineering Shenzhen University China Guangdong Key Lab for Intelligent Information Processing Shenzhen China Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics for Society China;
College of Electronics and Information Engineering Shenzhen University China Guangdong Key Lab for Intelligent Information Processing Shenzhen China Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics for Society China School of Computer Science The University of Nottingham United Kingdom;
Edge-preserving filter; Side window; Convolutional neural network; Side kernel convolution; Residual learning;
机译:基于卷积神经网络的自适应窗和滤镜大小的高光谱成像分类
机译:高效地实现卷积神经网络在体内成像中双光子的数据处理
机译:基于ISSO在医学图像中的病变识别的基于ISSO的进化卷积神经网络更快
机译:基于卷积神经网络和二元k型的微调深度卷积神经网络快速图像聚类,非常高分辨率的分类
机译:使用Gabor过滤器调查卷积神经网络的噪声稳健性
机译:卷积神经网络在双光子体内成像数据处理中的高效实现
机译:Gabor滤波器辅助节能快速学习卷积 神经网络