Slow-Fast Time Parameter Aggregation Network for Class-Incremental Lip Reading

Author:

Zhang Xueyi1ORCID,Zhang Chengwei2ORCID,Wang Tao3ORCID,Tang Jun4ORCID,Lao Songyang4ORCID,Li Haizhou5ORCID

Affiliation:

1. National University of Defense Technology & Shenzhen Research Institute of Big Data, School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shenzhen, China

2. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China

3. Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University, Shenzhen, China

4. School of systems engineering, National University of Defense Technology, Changsha, China

5. Shenzhen Research Institute of Big Data, School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shenzhen, China

Publisher

ACM

Reference50 articles.

1. Triantafyllos Afouras , Joon Son Chung , Andrew Senior, Oriol Vinyals, and Andrew Zisserman. 2018 . Deep audio-visual speech recognition. IEEE transactions on pattern analysis and machine intelligence 44, 12 (2018), 8717--8727. Triantafyllos Afouras, Joon Son Chung, Andrew Senior, Oriol Vinyals, and Andrew Zisserman. 2018. Deep audio-visual speech recognition. IEEE transactions on pattern analysis and machine intelligence 44, 12 (2018), 8717--8727.

2. Yannis M Assael , Brendan Shillingford , Shimon Whiteson , and Nando De Freitas . 2016 . Lipnet: End-to-end sentence-level lipreading. arXiv preprint arXiv:1611.01599 (2016). Yannis M Assael, Brendan Shillingford, Shimon Whiteson, and Nando De Freitas. 2016. Lipnet: End-to-end sentence-level lipreading. arXiv preprint arXiv:1611.01599 (2016).

3. Rainbow Memory: Continual Learning with a Memory of Diverse Samples

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

5. Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence

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