Basic Level Categorization Facilitates Visual Object Recognition

12 Nov 2015Panqu WangGarrison W. Cottrell

Recent advances in deep learning have led to significant progress in the computer vision field, especially for visual object recognition tasks. The features useful for object classification are learned by feed-forward deep convolutional neural networks (CNNs) automatically, and they are shown to be able to predict and decode neural representations in the ventral visual pathway of humans and monkeys... (read more)

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