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Computer vision, a branch of artificial intelligence, centers on training devices to recognize and perceive visual information. This field involves a variety of techniques to transform high-dimensional data from the tangible world into numerical or symbolic inputs that can be read by a computer, followed by the analysis of these data to derive interpretations and insights. Typically, computer vision tasks encompass image classification, object detection, semantic segmentation, and instance segmentation. Owing to the substantial advance in deep learning algorithms, the applications of computer vision technology extend to emerging areas including biometrics, bioinformatics, and multimedia data analysis, with impressive efficiency and accuracy in analyzing large datasets.
This Collection showcases some of our latest research on computer vision, particularly highlighting the advance in recognition, classification, and segmentation.