Dilated Residual Networks

CVPR 2017 Fisher YuVladlen KoltunThomas Funkhouser

Convolutional networks for image classification progressively reduce resolution until the image is represented by tiny feature maps in which the spatial structure of the scene is no longer discernible. Such loss of spatial acuity can limit image classification accuracy and complicate the transfer of the model to downstream applications that require detailed scene understanding... (read more)

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