Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback

15 Aug 2017 Xin Li Zequn Jie Jiashi Feng Changsong Liu Shuicheng Yan

Recent years have witnessed the great success of convolutional neural network (CNN) based models in the field of computer vision. CNN is able to learn hierarchically abstracted features from images in an end-to-end training manner... (read more)

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