Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback.

•“Learning with Rethinking” algorithm is proposed to boost the perfor- mance of a baseline model.•Feedback layer is proposed to propagate predicted probability to a bottom 5 layer.•Different feature channels are weighted with emphasis layer according to top-down information.