Accuracy and Performance Comparison of Video Action Recognition Approaches

Matthew Hutchinson, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Micheal Houle, Matthew Hubbell, Micheal Jones, Jeremy Kepner, Andrew Kirby, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Albert Reuther, Charles Yee, Vijay Gadepally

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Over the past few years, there has been significant interest in video action recognition systems and models. However, direct comparison of accuracy and computational performance results remain clouded by differing training environments, hardware specifications, hyperparameters, pipelines, and inference methods. This article provides a direct comparison between fourteen 'off-the-shelf' and state-of-the-art models by ensuring consistency in these training characteristics in order to provide readers with a meaningful comparison across different types of video action recognition algorithms. Accuracy of the models is evaluated using standard Top-1 and Top-5 accuracy metrics in addition to a proposed new accuracy metric. Additionally, we compare computational performance of distributed training from two to sixty-four GPUs on a state-of-the-art HPC system.

Original languageEnglish
Title of host publication2020 IEEE High Performance Extreme Computing Conference, HPEC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728192192
DOIs
StatePublished - Sep 22 2020
Externally publishedYes
Event2020 IEEE High Performance Extreme Computing Conference, HPEC 2020 - Virtual, Waltham, United States
Duration: Sep 21 2020Sep 25 2020

Publication series

Name2020 IEEE High Performance Extreme Computing Conference, HPEC 2020

Conference

Conference2020 IEEE High Performance Extreme Computing Conference, HPEC 2020
Country/TerritoryUnited States
CityVirtual, Waltham
Period09/21/2009/25/20

Keywords

  • accuracy metrics
  • action recognition
  • computational performance
  • deep learning
  • neural network

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