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

登录注册会员服务联系我们

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:
Short-container-title:

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

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transfer learning and its extensive appositeness in human activity recognition: A survey;Expert Systems with Applications;2024-04

2. Study on the Vulnerability of Video Retargeting Method for Generated Videos by Deep Learning Model;2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN);2023-07-04

3. On the Use of Deep Learning for Video Classification;Applied Sciences;2023-02-03

4. Task-Specific Alignment and Multiple-Level Transformer for Few-Shot Action Recognition;2023

5. Attention-Aware Multiple Granularities Network for Player Re-Identification;Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports;2022-10-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3