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METHOD AND SYSTEM FOR OBJECT CLASSIFICATION USING VISIBLE AND INVISIBLE LIGHT IMAGES
METHOD AND SYSTEM FOR OBJECT CLASSIFICATION USING VISIBLE AND INVISIBLE LIGHT IMAGES
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机译:使用可见光图像和不可见光图像进行对象分类的方法和系统
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摘要
Methods, systems, and techniques for classifying and/or detecting objects using visible and invisible light images. A visible light image and an invisible light image are received at a convolutional neural network (CNN). The visible light image depicts a region-of-interest imaged using visible light. The invisible light image depicts at least a portion of the region-of-interest imaged using invisible light, and at least one of the images depicts an object-of-interest within the portion of the region-of-interest shared between the images. The CNN then classifies and/or detects the object-of-interest using the images. The CNN may be trained to perform this classification and/or detection using pairs of visible and invisible light training images.
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