FlatteNet: A Simple Versatile Framework for Dense Pixelwise Prediction

22 Sep 2019Xin CaiYi-Fei Pu

In this paper, we focus on devising a versatile framework for dense pixelwise prediction whose goal is to assign a discrete or continuous label to each pixel for an image. It is well-known that the reduced feature resolution due to repeated subsampling operations poses a serious challenge to Fully Convolutional Network (FCN) based models... (read more)

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