Web6. apr 2024 · In this story, RefineNet, by The University of Adelaide, and Australian Centre for Robotic Vision, is reviewed.A generic multi-path refinement network that explicitly exploits all the information available along the down-sampling process to enable high-resolution prediction using long-range residual connections.The deeper layers that capture high-level … WebRefineNet blocks are 3-stage processing entities each handling and learning features of data on different levels of the model. The 3-stages of each block comprise the following components, Adaptive Convolution - performs layer learning and processing on a level corresponding to down-sampled data using RCUs (Residual Convolutional Units).
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