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"Knights": First Place Submission for VIPriors21 Action Recognition Challenge at ICCV 2021

arXiv 2110.07758 ↗First posted 14 Oct 2021cs.CVcited by 0

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Abstract (arXiv)

This technical report presents our approach "Knights" to solve the action recognition task on a small subset of Kinetics-400 i.e. Kinetics400ViPriors without using any extra-data. Our approach has 3 main components: state-of-the-art Temporal Contrastive self-supervised pretraining, video transformer models, and optical flow modality. Along with the use of standard test-time augmentation, our proposed solution achieves 73% on Kinetics400ViPriors test set, which is the best among all of the other entries Visual Inductive Priors for Data-Efficient Computer Vision's Action Recognition Challenge, ICCV 2021.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 21 of its 30 references that are in the map. First posted on arXiv 14 Oct 2021.

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References · 21

  1. 2017Quo Vadis, Action Recognition? A New Model and the Kinetics Datasetcited by 3,259
  2. 2017The Kinetics Human Action Video Datasetcited by 1,894
  3. 2021Is Space-Time Attention All You Need for Video Understanding?cited by 1,609
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  8. 2016Hollywood in Homes: Crowdsourcing Data Collection for Activity Understandingcited by 535
  9. 2020Spatiotemporal Contrastive Video Representation Learningcited by 372
  10. 2021Video Transformer Networkcited by 271
  11. 2020Self-supervised Video Representation Learning by Pace Predictioncited by 139
  12. 2021TCLR: Temporal Contrastive Learning for Video Representationcited by 136
9 more
  1. 2018How to Start Training: The Effect of Initialization and Architecturecited by 109
  2. 2020Video Representation Learning by Recognizing Temporal Transformationscited by 82
  3. 2020Video Cloze Procedure for Self-Supervised Spatio-Temporal Learningcited by 80
  4. 2021Modeling Multi-Label Action Dependencies for Temporal Action Localizationcited by 32
  5. 2018VideoCapsuleNet: A Simplified Network for Action Detectioncited by 30
  6. 2021Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activitiescited by 26
  7. 2020TinyVIRAT: Low-resolution Video Action Recognitioncited by 16
  8. 2020Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Security Videoscited by 11
  9. 2020We don't Need Thousand Proposalscolon Single Shot Actor-Action Detection in Videoscited by 5

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