Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks-Reference-Cited by-同舟云学术

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Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks

Published:2020-10-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Multimedia
language:
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Author:

Qi Mengshi¹,Qin Jie²,Zhen Xiantong³,Huang Di⁴,Yang Yi⁵,Luo Jiebo⁶

Affiliation:

1. Ecole polytechnique federale de Lausanne (EPFL), Lausanne, Switzerland

2. Inception Institute of Arti!cial Intelligence (IIAI), Abu Dhabi, UAE

3. Universiteit van Amsterdam, Abu Dhabi, Netherlands

4. Beihang University, Beijing, China

5. University of Technology Sydney, Sydney, Australia

6. University of Rochester, Rochester, NY, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394171.3416269

Reference57 articles.

1. Leo Breiman. 1996. Bagging predictors. Machine learning Vol. 24 2 (1996) 123--140. Leo Breiman. 1996. Bagging predictors. Machine learning Vol. 24 2 (1996) 123--140.

2. Future-Supervised Retrieval of Unseen Queries for Live Video

3. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

4. Learning Object-Centric Transformation for Video Prediction

5. Video Retargeting

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