Enabling Image Recognition on Constrained Devices Using Neural Network Pruning and a CycleGAN

@article{Lidfeldt2020EnablingIR,
  title={Enabling Image Recognition on Constrained Devices Using Neural Network Pruning and a CycleGAN},
  author={August Lidfeldt and D. Isaksson and Ludwig Hedlund and Simon {\AA}berg and Markus Borg and E. Larsson},
  journal={10th International Conference on the Internet of Things Companion},
  year={2020}
}
  • August Lidfeldt, D. Isaksson, +3 authors E. Larsson
  • Published 2020
  • Computer Science
  • 10th International Conference on the Internet of Things Companion
  • Smart cameras are increasingly used in surveillance solutions in public spaces. Contemporary computer vision applications can be used to recognize events that require intervention by emergency services. Smart cameras can be mounted in locations where citizens feel particularly unsafe, e.g., pathways and underpasses with a history of incidents. One promising approach for smart cameras is edge AI, i.e., deploying AI technology on IoT devices. However, implementing resource-demanding technology… CONTINUE READING

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