Adaptive Hierarchical Pooling for Weakly-supervised Sound Event Detection-Reference-Cited by-同舟云学术

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Adaptive Hierarchical Pooling for Weakly-supervised Sound Event Detection

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:

Gao Lijian¹,Zhou Ling¹,Mao Qirong¹,Dong Ming²

Affiliation:

1. Jiangsu University, Zhenjiang, China

2. Wayne State University, Detroit, MI, USA

Funder

National Natural Science Foundation of China

Jiangsu key research and development plan

Post-graduate Research & Practice Innovation Program of Jiangsu Province

MTRAC Grant for Advanced Computing Technologies

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548097

Reference38 articles.

1. Marco Crocco , Marco Cristani , Andrea Trucco , and Vittorio Murino . 2014. Audio Surveillance: a Systematic Review. arXiv: Sound ( 2014 ). Marco Crocco, Marco Cristani, Andrea Trucco, and Vittorio Murino. 2014. Audio Surveillance: a Systematic Review. arXiv: Sound (2014).

2. Towards Duration Robust Weakly Supervised Sound Event Detection

3. Andrea Ferrario , Alexander Noll , and Mario V . Wuthrich . 2020 . Insights from Inside Neural Networks. CompSciRN: Industry Practical Application (Topic) ( 2020). Andrea Ferrario, Alexander Noll, and Mario V. Wuthrich. 2020. Insights from Inside Neural Networks. CompSciRN: Industry Practical Application (Topic) (2020).

4. A Mobile Application for Sound Event Detection

5. On Learning Disentangled Representation for Acoustic Event Detection

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