Low-Power Image Recognition Challenge (LPIRC 2019)


NEW LPIRC-Sponsored Event:
Workshop on Low-Power Computer Vision
Call for Papers
Seoul, Korea, 28 October 2019
Part of International Conference on Computer Vision (ICCV 2019)


CVPR Workshop Low-Power Image Recognition Challenge (LPIRC)

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

Long Beach, CA, USA

Date: 2019/06/17 (Monday)
Location: Long Beach, California, USA



Previous LPIRC Editions:


LPIRC Onsite Track

LPIRC Online Track

Abstracts of Invited Talks

This workshop will extend the successes of LPIRC 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.

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

More details of the tracks are described below.

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 HW donation. People interested in this opportunity may contact Naveen Purushotham (npurusho@xilinx.com) for more details.

All participants must register before 2019/05/30. Registration open 2019/03/15 at https://lpirc.ecn.purdue.edu/.

To win a prize in 2019 LPIRC, a solution must be better than the state of the art. Please note that this is a new requirement in 2019. The requirement in each track is shown below. If a solution’s score is below the threshold performance, 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 three speakers, a session on future low-power computer vision, and the onsite competition. The program for LPIRC is shown below.

2019 winners will be invited to speak in a workshop co-located with 2019 ICCV.

09:30-09:40 Welcome by Organizers and Summary of Online Challenge
09:40-10:30 Speech by the Competition Winners (2018 LPIRC-II)
10:30-11:10 Invited Speakers: Rethinking the Computations in Computer Vision (and the Hardware that Computes Them), Kurt Keutzer, Berkeley
11:10-12:00 Invited Speakers
  • Turbocharge Deep Learning Inference using Reconfigurable Platforms, Ashish Sirasao (asirasa@xilinx.com), Xilinx
  • The Art of MobileNet Design, Andrew Howard (howarda@google.com), Google
12:00-12:40 Lunch Break
12:40-14:40 Invited Speakers
14:40-17:00 Onsite Competition
17:00-17:30 Discussion: Future Low-Power Computer Vision

If you are interested in discussion of future competitions of low-power computer vision, please fill out this form.

For inquiries, please contact rcinfo@ieee.org.



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


LPIRC 2019 Links

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

LPIRC Onsite Track

LPIRC Online Track

Abstracts of Invited Talks


Organizing Committee

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