Progressive Cross-modal Knowledge Distillation for Human Action Recognition-Reference-Cited by-同舟云学术

Progressive Cross-modal Knowledge Distillation for Human Action Recognition

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
language:
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Author:

Ni Jianyuan¹,Ngu Anne H.H.¹,Yan Yan²

Affiliation:

1. Texas State University, San Marcos, TX, USA

2. Texas State University, San Marcos, IL, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548238

Reference107 articles.

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2. Zeeshan Ahmad and Naimul Mefraz Khan. 2019. Multidomain multimodal fusion for human action recognition using inertial sensors. In BigMM. 429--434. Zeeshan Ahmad and Naimul Mefraz Khan. 2019. Multidomain multimodal fusion for human action recognition using inertial sensors. In BigMM. 429--434.

3. Jimmy Ba and Rich Caruana . 2014. Do deep nets really need to be deep? Advances in neural information processing systems , Vol. 27 ( 2014 ). Jimmy Ba and Rich Caruana. 2014. Do deep nets really need to be deep? Advances in neural information processing systems, Vol. 27 (2014).

4. Zhe Cao Tomas Simon Shih-En Wei and Yaser Sheikh. 2017. Realtime multi-person 2d pose estimation using part affinity fields. In CVPR. 7291--7299. Zhe Cao Tomas Simon Shih-En Wei and Yaser Sheikh. 2017. Realtime multi-person 2d pose estimation using part affinity fields. In CVPR. 7291--7299.

5. Chen Chen Roozbeh Jafari and Nasser Kehtarnavaz. 2015. UTD-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor. In ICIP. 168--172. Chen Chen Roozbeh Jafari and Nasser Kehtarnavaz. 2015. UTD-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor. In ICIP. 168--172.

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