{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T05:08:37Z","timestamp":1784178517575,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":72,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3548365","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:43:01Z","timestamp":1665416581000},"page":"4385-4394","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":24,"title":["A Feature-space Multimodal Data Augmentation Technique for Text-video Retrieval"],"prefix":"10.1145","author":[{"given":"Alex","family":"Falcon","sequence":"first","affiliation":[{"name":"Fondazione Bruno Kessler & University of Udine, Trento, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giuseppe","family":"Serra","sequence":"additional","affiliation":[{"name":"University of Udine, Udine, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oswald","family":"Lanz","sequence":"additional","affiliation":[{"name":"Free University of Bozen-Bolzano, Bolzano, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Computer Graphics Forum","author":"Aberman Kfir","unstructured":"Kfir Aberman , Mingyi Shi , Jing Liao , Dani Lischinski , Baoquan Chen , and Daniel Cohen-Or . 2019. Deep video-based performance cloning . In Computer Graphics Forum , Vol. 38 . Wiley Online Library , 219--233. Kfir Aberman, Mingyi Shi, Jing Liao, Dani Lischinski, Baoquan Chen, and Daniel Cohen-Or. 2019. Deep video-based performance cloning. In Computer Graphics Forum, Vol. 38. Wiley Online Library, 219--233."},{"key":"e_1_3_2_2_2_1","unstructured":"Ricardo Baeza-Yates Berthier Ribeiro-Neto etal 1999. Modern information retrieval. Vol. 463. ACM press New York.  Ricardo Baeza-Yates Berthier Ribeiro-Neto et al. 1999. Modern information retrieval. Vol. 463. ACM press New York."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00175"},{"key":"e_1_3_2_2_4_1","volume-title":"Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, and Barret Zoph.","author":"Bello Irwan","year":"2021","unstructured":"Irwan Bello , William Fedus , Xianzhi Du , Ekin Dogus Cubuk , Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, and Barret Zoph. 2021 . Revisiting resnets: Improved training and scaling strategies. Advances in Neural Information Processing Systems , Vol. 34 (2021). Irwan Bello, William Fedus, Xianzhi Du, Ekin Dogus Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, and Barret Zoph. 2021. Revisiting resnets: Improved training and scaling strategies. Advances in Neural Information Processing Systems, Vol. 34 (2021)."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/fi14030093"},{"key":"e_1_3_2_2_6_1","volume-title":"Hours of video uploaded to YouTube every minute as of","author":"Ceci L.","year":"2020","unstructured":"L. Ceci . 2022. Hours of video uploaded to YouTube every minute as of February 2020 . https:\/\/www.statista.com\/statistics\/259477\/hours-of-video-uploaded-to-youtube-every-minute. [Online; accessed 31-March-2022]. L. Ceci. 2022. Hours of video uploaded to YouTube every minute as of February 2020. https:\/\/www.statista.com\/statistics\/259477\/hours-of-video-uploaded-to-youtube-every-minute. [Online; accessed 31-March-2022]."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01065"},{"key":"e_1_3_2_2_8_1","volume-title":"International Conference on Learning Representations.","author":"Cheung Tsz-Him","year":"2020","unstructured":"Tsz-Him Cheung and Dit-Yan Yeung . 2020 . Modals: Modality-agnostic automated data augmentation in the latent space . In International Conference on Learning Representations. Tsz-Him Cheung and Dit-Yan Yeung. 2020. Modals: Modality-agnostic automated data augmentation in the latent space. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01138"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00608"},{"key":"e_1_3_2_2_11_1","volume-title":"Antonino Furnari, Evangelos Kazakos, Jian Ma, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, et al.","author":"Damen Dima","year":"2021","unstructured":"Dima Damen , Hazel Doughty , Giovanni Maria Farinella , Antonino Furnari, Evangelos Kazakos, Jian Ma, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, et al. 2021 a. Rescaling egocentric vision. International Journal of Computer Vision ( 2021). Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Antonino Furnari, Evangelos Kazakos, Jian Ma, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, et al. 2021a. Rescaling egocentric vision. International Journal of Computer Vision (2021)."},{"key":"e_1_3_2_2_12_1","volume-title":"Giovanni Maria Farinella, and Davide Moltisanti","author":"Damen Dima","year":"2021","unstructured":"Dima Damen , Adriano Fragomeni , Jonathan Munro , Toby Perrett , Daniel Whettam , Michael Wray , Antonino Furnari , Giovanni Maria Farinella, and Davide Moltisanti . 2021 b. EPIC-KITCHENS-100- 2021 Challenges Report. Technical Report. University of Bristol . Dima Damen, Adriano Fragomeni, Jonathan Munro, Toby Perrett, Daniel Whettam, Michael Wray, Antonino Furnari, Giovanni Maria Farinella, and Davide Moltisanti. 2021b. EPIC-KITCHENS-100- 2021 Challenges Report. Technical Report. University of Bristol."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3266441"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3059295"},{"key":"e_1_3_2_2_15_1","first-page":"1946","article-title":"Feature re-learning with data augmentation for video relevance prediction","volume":"33","author":"Dong Jianfeng","year":"2019","unstructured":"Jianfeng Dong , Xun Wang , Leimin Zhang , Chaoxi Xu , Gang Yang , and Xirong Li . 2019 . Feature re-learning with data augmentation for video relevance prediction . IEEE Transactions on Knowledge and Data Engineering , Vol. 33 , 5 (2019), 1946 -- 1959 . Jianfeng Dong, Xun Wang, Leimin Zhang, Chaoxi Xu, Gang Yang, and Xirong Li. 2019. Feature re-learning with data augmentation for video relevance prediction. IEEE Transactions on Knowledge and Data Engineering, Vol. 33, 5 (2019), 1946--1959.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.57"},{"key":"e_1_3_2_2_17_1","volume-title":"Learning video retrieval models with relevance-aware online mining. arXiv preprint arXiv:2203.08688","author":"Falcon Alex","year":"2022","unstructured":"Alex Falcon , Giuseppe Serra , and Oswald Lanz . 2022. Learning video retrieval models with relevance-aware online mining. arXiv preprint arXiv:2203.08688 ( 2022 ). Alex Falcon, Giuseppe Serra, and Oswald Lanz. 2022. Learning video retrieval models with relevance-aware online mining. arXiv preprint arXiv:2203.08688 (2022)."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_13"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01232"},{"key":"e_1_3_2_2_20_1","volume-title":"Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 297--304","author":"Gutmann Michael","year":"2010","unstructured":"Michael Gutmann and Aapo Hyv\u00e4rinen . 2010 . Noise-contrastive estimation: A new estimation principle for unnormalized statistical models . In Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 297--304 . Michael Gutmann and Aapo Hyv\u00e4rinen. 2010. Noise-contrastive estimation: A new estimation principle for unnormalized statistical models. In Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 297--304."},{"key":"e_1_3_2_2_21_1","volume-title":"Dimensionality reduction by learning an invariant mapping. In 2006 IEEE Computer Society Computer Vision and Pattern Recognition (Computer Vision and Pattern Recognition'06)","author":"Hadsell Raia","unstructured":"Raia Hadsell , Sumit Chopra , and Yann LeCun . 2006. Dimensionality reduction by learning an invariant mapping. In 2006 IEEE Computer Society Computer Vision and Pattern Recognition (Computer Vision and Pattern Recognition'06) , Vol. 2 . IEEE , 1735--1742. Raia Hadsell, Sumit Chopra, and Yann LeCun. 2006. Dimensionality reduction by learning an invariant mapping. In 2006 IEEE Computer Society Computer Vision and Pattern Recognition (Computer Vision and Pattern Recognition'06), Vol. 2. IEEE, 1735--1742."},{"key":"e_1_3_2_2_22_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 1418--1428","author":"Hu Yuan-Ting","year":"2021","unstructured":"Yuan-Ting Hu , Jiahong Wang , Raymond A Yeh , and Alexander G Schwing . 2021 . SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data . In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 1418--1428 . Yuan-Ting Hu, Jiahong Wang, Raymond A Yeh, and Alexander G Schwing. 2021. SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 1418--1428."},{"key":"e_1_3_2_2_23_1","volume-title":"ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications","author":"Hwang Hochul","year":"2021","unstructured":"Hochul Hwang , Cheongjae Jang , Geonwoo Park , Junghyun Cho , and Ig-Jae Kim . 2021. ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications . IEEE Access ( 2021 ). Hochul Hwang, Cheongjae Jang, Geonwoo Park, Junghyun Cho, and Ig-Jae Kim. 2021. ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications. IEEE Access (2021)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9190839"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/582415.582418"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462974"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00559"},{"key":"e_1_3_2_2_28_1","volume-title":"Advances in Neural Information Processing Systems","volume":"25","author":"Krizhevsky Alex","year":"2012","unstructured":"Alex Krizhevsky , Ilya Sutskever , and Geoffrey E Hinton . 2012 . Imagenet classification with deep convolutional neural networks . Advances in Neural Information Processing Systems , Vol. 25 (2012). Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. Advances in Neural Information Processing Systems, Vol. 25 (2012)."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-6101"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00725"},{"key":"e_1_3_2_2_31_1","article-title":"Dynamic Hand Gesture Recognition Using Multi-direction 3D Convolutional Neural Networks","volume":"27","author":"Li Jie","year":"2019","unstructured":"Jie Li , Mingqiang Yang , Yupeng Liu , Yanyan Wang , Qinghe Zheng , and Deqiang Wang . 2019 . Dynamic Hand Gesture Recognition Using Multi-direction 3D Convolutional Neural Networks . Engineering Letters , Vol. 27 , 3 (2019). Jie Li, Mingqiang Yang, Yupeng Liu, Yanyan Wang, Qinghe Zheng, and Deqiang Wang. 2019. Dynamic Hand Gesture Recognition Using Multi-direction 3D Convolutional Neural Networks. Engineering Letters, Vol. 27, 3 (2019).","journal-title":"Engineering Letters"},{"key":"e_1_3_2_2_32_1","volume-title":"VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. In 35th Conference on Neural Information Processing Systems (NeurIPS 2021)","author":"Li Linjie","year":"2021","unstructured":"Linjie Li , Jie Lei , Zhe Gan , Licheng Yu , Yen-Chun Chen , Rohit Pillai , Yu Cheng , Luowei Zhou , Xin Eric Wang , William Yang Wang , 2021 . VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. In 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks. Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, et al. 2021. VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. In 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3042067"},{"key":"e_1_3_2_2_34_1","volume-title":"HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval. International Conference on Computer Vision","author":"Liu Song","year":"2021","unstructured":"Song Liu , Haoqi Fan , Shengsheng Qian , Yiru Chen , Wenkui Ding , and Zhongyuan Wang . 2021 . HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval. International Conference on Computer Vision (2021). Song Liu, Haoqi Fan, Shengsheng Qian, Yiru Chen, Wenkui Ding, and Zhongyuan Wang. 2021. HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval. International Conference on Computer Vision (2021)."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545506"},{"key":"e_1_3_2_2_36_1","volume-title":"Use what you have: Video retrieval using representations from collaborative experts. BMVC","author":"Liu Yang","year":"2019","unstructured":"Yang Liu , Samuel Albanie , Arsha Nagrani , and Andrew Zisserman . 2019. Use what you have: Video retrieval using representations from collaborative experts. BMVC ( 2019 ). Yang Liu, Samuel Albanie, Arsha Nagrani, and Andrew Zisserman. 2019. Use what you have: Video retrieval using representations from collaborative experts. BMVC (2019)."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.394"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1334"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00990"},{"key":"e_1_3_2_2_40_1","volume-title":"Learning a text-video embedding from incomplete and heterogeneous data. arXiv preprint arXiv:1804.02516","author":"Miech Antoine","year":"2018","unstructured":"Antoine Miech , Ivan Laptev , and Josef Sivic . 2018. Learning a text-video embedding from incomplete and heterogeneous data. arXiv preprint arXiv:1804.02516 ( 2018 ). Antoine Miech, Ivan Laptev, and Josef Sivic. 2018. Learning a text-video embedding from incomplete and heterogeneous data. arXiv preprint arXiv:1804.02516 (2018)."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00272"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.212"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1616"},{"key":"e_1_3_2_2_45_1","volume-title":"Proceedings of the International Conference on Learning Representations","author":"Patrick Mandela","year":"2020","unstructured":"Mandela Patrick , Po-Yao Huang , Yuki Asano , Florian Metze , Alexander Hauptmann , Joao Henriques , and Andrea Vedaldi . 2020 . Support-set bottlenecks for video-text representation learning . Proceedings of the International Conference on Learning Representations (2020). Mandela Patrick, Po-Yao Huang, Yuki Asano, Florian Metze, Alexander Hauptmann, Joao Henriques, and Andrea Vedaldi. 2020. Support-set bottlenecks for video-text representation learning. Proceedings of the International Conference on Learning Representations (2020)."},{"key":"e_1_3_2_2_46_1","volume-title":"Meta Back-Translation. In International Conference on Learning Representations.","author":"Pham Hieu","year":"2020","unstructured":"Hieu Pham , Xinyi Wang , Yiming Yang , and Graham Neubig . 2020 . Meta Back-Translation. In International Conference on Learning Representations. Hieu Pham, Xinyi Wang, Yiming Yang, and Graham Neubig. 2020. Meta Back-Translation. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/SKIMA47702.2019.8982527"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00681"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-020-00392-9"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.501"},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2964299"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.04.004"},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3314577","article-title":"Cross-modality retrieval by joint correlation learning","volume":"15","author":"Wang Shuo","year":"2019","unstructured":"Shuo Wang , Dan Guo , Xin Xu , Li Zhuo , and Meng Wang . 2019 a. Cross-modality retrieval by joint correlation learning . ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) , Vol. 15 , 2s (2019), 1 -- 16 . Shuo Wang, Dan Guo, Xin Xu, Li Zhuo, and Meng Wang. 2019a. Cross-modality retrieval by joint correlation learning. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 15, 2s (2019), 1--16.","journal-title":"ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)"},{"key":"e_1_3_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1306"},{"key":"e_1_3_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00468"},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00504"},{"key":"e_1_3_2_2_59_1","unstructured":"Zixu Wang Yishu Miao and Lucia Specia12. 2021a. Cross-Modal Generative Augmentation for Visual Question Answering. (2021).  Zixu Wang Yishu Miao and Lucia Specia12. 2021a. Cross-Modal Generative Augmentation for Visual Question Answering. (2021)."},{"key":"e_1_3_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3011290"},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1670"},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00365"},{"key":"e_1_3_2_2_63_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00054"},{"key":"e_1_3_2_2_64_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-22747-0_7"},{"key":"e_1_3_2_2_65_1","unstructured":"Ziang Xie Sida I Wang Jiwei Li Daniel L\u00e9vy Aiming Nie Dan Jurafsky and Andrew Y Ng. 2016. Data Noising as Smoothing in Neural Network Language Models. (2016).  Ziang Xie Sida I Wang Jiwei Li Daniel L\u00e9vy Aiming Nie Dan Jurafsky and Andrew Y Ng. 2016. Data Noising as Smoothing in Neural Network Language Models. (2016)."},{"key":"e_1_3_2_2_66_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.571"},{"key":"e_1_3_2_2_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2016.7552971"},{"key":"e_1_3_2_2_68_1","volume-title":"Byeongho Heo, Dongyoon Han, and Jinhyung Kim.","author":"Yun Sangdoo","year":"2020","unstructured":"Sangdoo Yun , Seong Joon Oh , Byeongho Heo, Dongyoon Han, and Jinhyung Kim. 2020 . Videomix : Rethinking data augmentation for video classification. arXiv preprint arXiv:2012.03457 (2020). Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, and Jinhyung Kim. 2020. Videomix: Rethinking data augmentation for video classification. arXiv preprint arXiv:2012.03457 (2020)."},{"key":"e_1_3_2_2_69_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01157"},{"key":"e_1_3_2_2_70_1","volume-title":"International Conference on Learning Representations.","author":"Zhang Hongyi","year":"2018","unstructured":"Hongyi Zhang , Moustapha Cisse , Yann N Dauphin , and David Lopez-Paz . 2018 . mixup: Beyond Empirical Risk Minimization . In International Conference on Learning Representations. Hongyi Zhang, Moustapha Cisse, Yann N Dauphin, and David Lopez-Paz. 2018. mixup: Beyond Empirical Risk Minimization. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_71_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7000"},{"key":"e_1_3_2_2_72_1","volume-title":"Towards Automatic Learning of Procedures From Web Instructional Videos. In AAAI Conference on Artificial Intelligence. 7590--7598","author":"Zhou Luowei","year":"2018","unstructured":"Luowei Zhou , Chenliang Xu , and Jason J Corso . 2018 . Towards Automatic Learning of Procedures From Web Instructional Videos. In AAAI Conference on Artificial Intelligence. 7590--7598 . https:\/\/www.aaai.org\/ocs\/index.php\/AAAI\/AAAI18\/paper\/view\/17344. Luowei Zhou, Chenliang Xu, and Jason J Corso. 2018. Towards Automatic Learning of Procedures From Web Instructional Videos. In AAAI Conference on Artificial Intelligence. 7590--7598. https:\/\/www.aaai.org\/ocs\/index.php\/AAAI\/AAAI18\/paper\/view\/17344."}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","location":"Lisboa Portugal","acronym":"MM '22","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548365","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3548365","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:00:44Z","timestamp":1750186844000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548365"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":72,"alternative-id":["10.1145\/3503161.3548365","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3548365","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}