7 citations · 23 across the 13 of their papers we have counts for
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cs.DC2020
Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference
Perry Gibson, José Cano
Optimising deep learning inference across edge devices and optimisation targets such as inference time, memory footprint and power consumption is a key challenge due to the ubiquit…
cs.LG2020
Optimizing Grouped Convolutions on Edge Devices
Perry Gibson, José Cano, Jack Turner +3
When deploying a deep neural network on constrained hardware, it is possible to replace the network's standard convolutions with grouped convolutions. This allows for substantial m…