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CROSS-TRAINED CONVOLUTIONAL NEURAL NETWORKS USING MULTIMODAL IMAGES
CROSS-TRAINED CONVOLUTIONAL NEURAL NETWORKS USING MULTIMODAL IMAGES
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机译:使用多模态图像的交叉遍历卷积神经网络
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摘要
Embodiments of a computer-implemented method for training a convolutional neural network (CNN) that is pre-trained using a set of color images are disclosed. The method comprises receiving a training dataset including multiple multidimensional images, each multidimensional image including a color image and a depth image; performing a fine-tuning of the pre-trained CNN using the depth image for each of the plurality of multidimensional images; obtaining a depth CNN based on the pre-trained CNN, wherein the depth CNN is associated with a first set of parameters; replicating the depth CNN to obtain a duplicate depth CNN being initialized with the first set of parameters; and obtaining a depth-enhanced color CNN based on the duplicate depth CNN being fine-tuned using the color image for each of the plurality of multidimensional images, wherein the depth-enhanced color CNN is associated with a second set of parameters.
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