Unleashing the Potential of CNNs for Interpretable Few-Shot Learning

ICLR 2018 Boyang DengQing LiuSiyuan QiaoAlan Yuille

Convolutional neural networks (CNNs) have been generally acknowledged as one of the driving forces for the advancement of computer vision. Despite their promising performances on many tasks, CNNs still face major obstacles on the road to achieving ideal machine intelligence... (read more)

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