A Faster R-CNN Multi-Object Detector on a Nvidia Jetson TX1 Embedded System: Demo

@inproceedings{Mhalla2016AFR,
  title={A Faster R-CNN Multi-Object Detector on a Nvidia Jetson TX1 Embedded System: Demo},
  author={Ala Mhalla and Thierry Chateau and Sami Gazzah and Najoua Essoukri Ben Amara},
  booktitle={ICDSC},
  year={2016}
}
This paper details the implementation of the deep Faster R-CNN algorithm (Faster R-CNN model) for multi-object detection on Nvidia Jetson TX1 Embedded System. The Jetson TX1 device is a development board proposed by NVIDIA for applications requiring high computational performance in a low-power envelope. 

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Extracted Numerical Results

  • It achieved a state-of-the-art 73.2 mean average precision on the PASCAL VOC 2007 dataset.

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