Constraint-Aware Deep Neural Network Compression

ECCV 2018 • Changan Chen • Frederick Tung • Naveen Vedula • Greg Mori

Deep neural network compression has the potential to bring modern resource-hungry deep networks to resource-limited devices. However, in many of the most compelling deployment scenarios of compressed deep networks, the operational constraints matter: for example, a pedestrian detection network on a self-driving car may have to satisfy a latency constraint for safe operation... (read more)

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