[58] Xinhao Mei, Xubo Liu, Qiushi Huang, Mark D. Plumbley, and Wenwu Wang. Audio captioning transformer. In Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021), pp. 211-215, Barcelona, Spain, November 2021. ISBN 978-84-09-36072-7.
[59] Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, and Josef Sivic. HowTo100M: Learning a text-video embedding by watching hundred million narrated video clips. In ICCV, 2019.
[60] Asit Mishra and Debbie Marr. Apprentice: Using knowledge distillation techniques to improve low-precision network accuracy. In ICLR, 2018.
[61] Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, and Shinji Watanabe. Self-supervised speech representation learning: A review. IEEE Journal of Selected Topics in Signal Processing, 16(6):1179-1210, 2022.
[62] Pedro Morgado, Ishan Misra, and Nuno Vasconcelos. Robust audio-visual instance discrimination. In CVPR, 2021.
[63] Pedro Morgado, Nuno Vasconcelos, and Ishan Misra. Audio-visual instance discrimination with cross-modal agreement. In CVPR, 2021.
[64] Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, and Chen Sun. Attention bottlenecks for multimodal fusion. In NeurIPS, 2021.
[65] Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, and Andrew Y Ng. Multimodal deep learning. In ICML, 2011.
[66] Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, and Samuel Albanie. Audio retrieval with natural language queries. In Hynek Hermansky, Honza Cernocký, Lukás Burget, Lori Lamel, Odette Scharenborg, and Petr Motlícek (eds.), Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August - 3 September 2021, pp. 2411-2415. ISCA, 2021. doi: 10.21437/Interspeech.2021-2227. URL https://doi.org/10.21437/Interspeech.2021-2227.
[67] Andrew Owens and Alexei A Efros. Audio-visual scene analysis with self-supervised multisensory features. In ECCV, 2018.
[68] Daniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, and Quoc V. Le. Specaugment: A simple data augmentation method for automatic speech recognition. ArXiv, abs/1904.08779, 2019.
[69] Wonpyo Park, Dongju Kim, Yan Lu, and Minsu Cho. Relational knowledge distillation. In CVPR, 2019.
[70] Mandela Patrick, Yuki M Asano, Polina Kuznetsova, Ruth Fong, João F Henriques, Geoffrey Zweig, and Andrea Vedaldi. On compositions of transformations in contrastive self-supervised learning. In ICCV, 2021.
[71] Mandela Patrick, Po-Yao Huang, Ishan Misra, Florian Metze, Andrea Vedaldi, Yuki M. Asano, and João F. Henriques. Space-time crop & attend: Improving cross-modal video representation learning. In 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, pp. 10540-10552. IEEE, 2021. doi: 10.1109/ICCV48922.2021.01039. URL https://doi.org/10.1109/ICCV48922.2021.01039.
[72] Karol J. Piczak. ESC: Dataset for Environmental Sound Classification. In Proceedings of the 23rd Annual ACM Conference on Multimedia, pp. 1015-1018. ACM Press, 2015. ISBN 978-1-4503-3459-4. doi: 10.1145/2733373.2806390. URL http://dl.acm.org/citation.cfm?doid=2733373.2806390.
[73] Gerasimos Potamianos, Chalapathy Neti, Guillaume Gravier, Ashutosh Garg, and Andrew W Senior. Recent advances in the automatic recognition of audiovisual speech. Proceedings of the IEEE, 91(9):1306-1326, 2003.
[74] Daniel Povey, Arnab Ghoshal, Gilles Boulianne, Lukas Burget, Ondrej Glembek, Nagendra Goel, Mirko Hannemann, Petr Motlicek, Yanmin Qian, Petr Schwarz, et al. The kaldi speech recognition toolkit. In IEEE 2011 workshop on automatic speech recognition and understanding, number CONF. IEEE Signal Processing Society, 2011.