RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation

23 Jul 2019 Sang-Yun Oh Hye-Jin S. Kim Jongeun Lee Junmo Kim

We introduce Repetition-Reduction network (RRNet) for resource-constrained depth estimation, offering significantly improved efficiency in terms of computation, memory and energy consumption. The proposed method is based on repetition-reduction (RR) blocks... (read more)

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