Low-Power Image Recognition Challenge (LPIRC 2019)


2019 Low-Power Imaging Recognition Challenge (LPIRC 2019) and Grand Challenge in Low-Power Computer Vision

Held as part of Computer Vision and Pattern Recognition Conference (CVPR 2019)

Long Beach, CA, USA




Previous LPIRC Editions:


Date: 2019/06/16 (or 17, to be finalized)
Location: Long Beach, California (co-located with CVPR)

This workshop will extend the past the success in the past four years identifying the best vision solutions that can simultaneously achieve high accuracy in computer vision and energy efficiency. Since the first competition held in 2015, the winners’ solutions have improved 24 times in the ratio of accuracy divided by energy.

LPIRC 2019 will continue the online + onsite options for participants. One online track with pre-selected hardware allows participants to submit their solutions multiple times without the need of traveling. One onsite track allows participants to bring their systems to CVPR. Two tracks in 2018 will be offered using the same setup and rules.

  • Online Track (objection detection): Tensorflow Model. Submission dates: 2019/05/15-2019/06/10
  • Onsite Track (objection detection): No restriction. Bring your system to CVPR.

For the onsite track, Xilinx Ultra96 + PYNQ framework http://www.pynq.io/community.html is an option available to participants. Xilinx will provide support and possible hardware donation. People interested in this opportunity may contact Naveen Purushotham (npurusho@xilinx.com) for more details.

All participants must register before 2019/05/15.

To win a prize in 2019 LPIRC, a solution must be better than the state of the art. Please notice that this is a new requirement in 2019. The requirement in each track is shown below. If a solution’s score is below the number, it cannot win. If a solution’s score is better, it still has to beat the other solutions submitted to 2019 LPIRC.

Online Track: mAP 0.14684
Onsite Track: mAP / energy (WH) 0.4446

LPIRC 2019 is a one-day workshop and will feature invited speakers, a session on grand challenge in low-power computer vision, and the onsite competition. The program for LPIRC is shown below.

09:30-09:40 Welcome by Organizers and Summary of Online Challenge
09:40-10:20 Speech by the Competition Winners (2018 LPIRC-II)
  • Amazon: Tao Sheng
  • Expasoft: Александр Кондратьев (Alexander Kondratyev)
10:20-11:20 Invited Speakers: Kurt Keutzer (Berkeley)
11:20-12:00 Invited Speakers
  • Xilinx: Ashish Sirasao
  • (TBD)
12:00-13:00 Lunch Break
13:00-14:00 Invited Speakers (TBD)
14:00-15:00 Grand Challenges in Low-Power Computer Vision
15:00-17:00 Onsite Competition

For inquiries, please contact rcinfo@ieee.org.


Call for Papers: Grand Challenge in Low-Power Computer Vision

Competitions are widely adopted in academia, industry, and government to propel technologies forward. Well-known competitions include the DARPA Autonomous Vehicle Challenge and the Space X prize. The competitions have been attributed as the accelerators of making significant progress in the technologies. This workshop solicits papers that describe future competition of low-power computer vision. Authors are encouraged to think boldly, imagining “Grand Challenge” or “X Prize” type of competitions. The paper should describe one (or several) competitions that are (1) easy to understand, (2) easy to evaluate success objectively, (3) possible but at least 5 years beyond today's technologies.

Authors are encouraged to discuss the following issues in their papers:

  • Description of the data (e.g., image, video, with or without caption)
  • Is any existing dataset used? If so, is the dataset sufficient or additional improvements are needed?
  • Methods to acquire the data
  • Description about copyright and privacy (if applicable)
  • Methods to annotate the data (if applicable, for getting the ground truth)
  • Methods for scoring
  • Infrastructure for scoring (if applicable, for example online grading server or harness)
  • Constraints of hardware (if applicable, for example weight, size)
  • Minimum or maximum requirements (e.g., accuracy, energy. execution time)
  • Differences from existing competitions

All submissions must be in PDF format. Submissions have no page limits. Please use the CVPR 2019 submission style.

Several selected papers will be presented in the LPIRC workshop in CVPR 2019. The accepted papers will be posted on this website and will not be included in the CVPR proceeding.

Important Dates:

  • Paper submission: 2019/04/30 (This is a hard deadline and will not be extended). Submission will be open on 2019/04/15. Please check this page for additional information.
  • Acceptance notification: 2019/05/20
  • Presentation: LPIRC Workshop at CVPR



IEEE Rebooting ComputingGoogleIEEE Circuits and Systems SocietyXilinxMediaTek


LPIRC 2019 is sponsored by Xilinx, Google, Mediatek, IEEE Circuits and Systems Society.

LPIRC 2015-2018 sponsors include Google, Facebook, Nvidia, Xilinx, Mediatek, IEEE Circuits and Systems Society, IEEE Council on Electronic Design Automation, IEEE GeenICT, and IEEE Council on Superconductivity. IEEE Rebooting Computing is the founding sponsor of LPIRC.

Sponsorship Opportunities Available


Organizing Committee

  • Yung-Hsiang Lu (Purdue)
  • Yiran Chen (Duke)
  • Alex Berg (UNC)
  • Bo Chen (Google)