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arXiv · 2110.07758

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

Ishan Dave·Naman Biyani·Brandon Clark·Rohit Gupta·Yogesh Rawat·Mubarak Shah
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Abstract

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.

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Ishan Dave, Naman Biyani, Brandon Clark, Rohit Gupta, Yogesh Rawat, Mubarak Shah. 2021-10-14. "Knights": First Place Submission for VIPriors21 Action Recognition Challenge at ICCV 2021. https://arxiv.org/abs/2110.07758

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