ASCNet learns per-pixel adaptive dilation rates via a 3-layer convolution structure to produce scale-appropriate receptive fields, yielding higher segmentation accuracy than fixed dilated CNNs on two medical image datasets.
In: 2018 IEEE Winter Conference on Applications of Computer Vision (WACV)
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ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning
ASCNet learns per-pixel adaptive dilation rates via a 3-layer convolution structure to produce scale-appropriate receptive fields, yielding higher segmentation accuracy than fixed dilated CNNs on two medical image datasets.