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Computer Vision Systems and Methods for Unsupervised Learning for Progressively Aligning Noisy Contours
Computer Vision Systems and Methods for Unsupervised Learning for Progressively Aligning Noisy Contours
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机译:用于逐步对准嘈杂轮廓的无监督学习的计算机视觉系统和方法
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摘要
Computer vision systems and methods for noisy contour alignment are provided. The system generates a loss function and trains a convolutional neural network with the loss function and a plurality of images of a dataset to learn to align contours with progressively increasing complex forward and backward transforms over increasing scales. The system can align an attribute of an image of the dataset by the trained neural network.
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