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ApproxNet: Content and Contention-Aware Video Analytics System for Embedded Clients
[article]
2021
arXiv
pre-print
Videos take a lot of time to transport over the network, hence running analytics on the live video on embedded or mobile devices has become an important system driver. Considering that such devices, e.g., surveillance cameras or AR/VR gadgets, are resource constrained, creating lightweight deep neural networks (DNNs) for embedded devices is crucial. None of the current approximation techniques for object classification DNNs can adapt to changing runtime conditions, e.g., changes in resource
arXiv:1909.02068v5
fatcat:5pa6tzarrfbvvlrmliufylj7ae