Low-Power Image Recognition Challenge (LPIRC 2018)
Low-Power Image Recognition Challenge (LPIRC) 2018
Salt Lake City, Utah, June 18, 2018
MARK YOUR CALENDARS!
The 4th IEEE International Low-Power Image Recognition Challenge (LPIRC) will be held in Salt Lake City, Utah, co-located with International Conference on Computer Vision and Pattern Recognition (CVPR 2018). This year, team contributions are being encouraged for 3 different tracks:
Track 1: Teams submit their models in TfLite format before CVPR. This track focuses on accuracy and execution time on a fixed compute platform.
Track 2: Teams submit their programs before CVPR. The organizers will execute the programs on Nvidia TX2 and measure the accuracy and energy consumption.
Track 3: This is the same track as 2017. Participants bring their systems to an on-site competition. There is no restriction on the hardware (except Nvidia TX2) or software.
More details about the tracks will be announced on this website soon.
Financial Sponsors: IEEE Rebooting Computing, Google, and Facebook.
Technical Sponsors: Google and Facebook.
For inquiries, please contact email@example.com.
Many mobile systems (smartphones, electronic glass, autonomous robots) can capture images. These systems use batteries and energy conservation is essential. This challenge aims to discover the best technology in both image recognition and energy conservation. Winners will be evaluated based on both high recognition accuracy and low power usage.
Image recognition involves many tasks. This challenge focuses on object detection, a basic routine in many recognition approaches. The following two examples illustrate the task. In the first example, there are two objects: a bird and a frog. In the second example, there are several objects: cars, persons, motorcycle, and a helmet. The training and validation data for LPIRC comes from the ImageNet Large Scale Visual Recognition Challenge detection competition. The test data will be specific to LPIRC.