{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T03:29:01Z","timestamp":1743132541199,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031720888"},{"type":"electronic","value":"9783031720895"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-72089-5_68","type":"book-chapter","created":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T16:02:20Z","timestamp":1727884940000},"page":"725-735","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["VideoCutMix: Temporal Segmentation of\u00a0Surgical Videos in\u00a0Scarce Data Scenarios"],"prefix":"10.1007","author":[{"given":"Rohan Raju","family":"Dhanakshirur","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mrinal","family":"Tyagi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Britty","family":"Baby","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ashish","family":"Suri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prem","family":"Kalra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chetan","family":"Arora","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,10,3]]},"reference":[{"key":"68_CR1","doi-asserted-by":"crossref","unstructured":"Ahn, H., Lee, D.: Refining action segmentation with hierarchical video representations. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 16302\u201316310 (2021)","DOI":"10.1109\/ICCV48922.2021.01599"},{"key":"68_CR2","doi-asserted-by":"crossref","unstructured":"Behrmann, N., Golestaneh, S.A., Kolter, Z., Gall, J., Noroozi, M.: Unified fully and timestamp supervised temporal action segmentation via sequence to sequence translation. In: European Conference on Computer Vision. pp. 52\u201368. Springer (2022)","DOI":"10.1007\/978-3-031-19833-5_4"},{"key":"68_CR3","doi-asserted-by":"crossref","unstructured":"Carreira, J., Zisserman, A.: Quo vadis, action recognition? a new model and the kinetics dataset. In: proceedings of the IEEE CVF Conference on Computer Vision and Pattern Recognition. pp. 6299\u20136308 (2017)","DOI":"10.1109\/CVPR.2017.502"},{"issue":"3","key":"68_CR4","doi-asserted-by":"publisher","first-page":"93","DOI":"10.3390\/fi14030093","volume":"14","author":"N Cauli","year":"2022","unstructured":"Cauli, N., Reforgiato\u00a0Recupero, D.: Survey on videos data augmentation for deep learning models. Future Internet 14(3), \u00a093 (2022)","journal-title":"Future Internet"},{"key":"68_CR5","unstructured":"DeVries, T., Taylor, G.W.: Improved regularization of convolutional neural networks with cutout. arXiv preprint arXiv:1708.04552 (2017)"},{"key":"68_CR6","doi-asserted-by":"crossref","unstructured":"Farha, Y.A., Gall, J.: Ms-tcn: Multi-stage temporal convolutional network for action segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 3575\u20133584 (2019)","DOI":"10.1109\/CVPR.2019.00369"},{"key":"68_CR7","unstructured":"Gao, Y., Vedula, S.S., Reiley, C.E., Ahmidi, N., Varadarajan, B., Lin, H.C., Tao, L., Zappella, L., B\u00e9jar, B., Yuh, D.D., et\u00a0al.: Jhu-isi gesture and skill assessment working set (jigsaws): A surgical activity dataset for human motion modeling. In: MICCAI workshop: M2cai. vol.\u00a03 (2014)"},{"key":"68_CR8","doi-asserted-by":"crossref","unstructured":"Ishikawa, Y., Kasai, S., Aoki, Y., Kataoka, H.: Alleviating over-segmentation errors by detecting action boundaries. In: Proceedings of the IEEE\/CVF Winter Applications of Computer Vision Conference. pp. 2322\u20132331 (2021)","DOI":"10.1109\/WACV48630.2021.00237"},{"key":"68_CR9","unstructured":"Kim, T., Kim, J., Shim, M., Yun, S., Kang, M., Wee, D., Lee, S.: Exploring temporally dynamic data augmentation for video recognition. International Conference on Learning Representations (ICLR) (2023)"},{"key":"68_CR10","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems 25 (2012)"},{"key":"68_CR11","doi-asserted-by":"crossref","unstructured":"Kuehne, H., Gall, J., Serre, T.: An end-to-end generative framework for video segmentation and recognition. In: Proc. IEEE Winter Applications of Computer Vision Conference (WACV 16). Lake Placid (Mar 2016)","DOI":"10.1109\/WACV.2016.7477701"},{"key":"68_CR12","unstructured":"Levenshtein, V.I., et\u00a0al.: Binary codes capable of correcting deletions, insertions, and reversals. In: Soviet physics doklady. vol.\u00a010, pp. 707\u2013710. Soviet Union (1966)"},{"key":"68_CR13","doi-asserted-by":"crossref","unstructured":"Liu, D., Jiang, T., Wang, Y., Miao, R., Shan, F., Li, Z.: Surgical skill assessment on in-vivo clinical data via the clearness of operating field. In: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13\u201317, 2019, Proceedings, Part V 22. pp. 476\u2013484. Springer (2019)","DOI":"10.1007\/978-3-030-32254-0_53"},{"key":"68_CR14","doi-asserted-by":"crossref","unstructured":"Nwoye, C.I., Gonzalez, C., Yu, T., Mascagni, P., Mutter, D., Marescaux, J., Padoy, N.: Recognition of instrument-tissue interactions in endoscopic videos via action triplets. In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). pp. 364\u2013374. Springer (2020)","DOI":"10.1007\/978-3-030-59716-0_35"},{"key":"68_CR15","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.robot.2019.03.005","volume":"118","author":"D Paulius","year":"2019","unstructured":"Paulius, D., Sun, Y.: A survey of knowledge representation in service robotics. Robotics and Autonomous Systems 118, 13\u201330 (2019)","journal-title":"Robotics and Autonomous Systems"},{"key":"68_CR16","doi-asserted-by":"crossref","unstructured":"Qian, R., Meng, T., Gong, B., Yang, M.H., Wang, H., Belongie, S., Cui, Y.: Spatiotemporal contrastive video representation learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 6964\u20136974 (2021)","DOI":"10.1109\/CVPR46437.2021.00689"},{"key":"68_CR17","unstructured":"Singh, G.K., Shukla, V., Patil, S., Shah, P.: Automatic detection of abnormal event using smart video surveillance system in a nuclear power plant. In: 55th Annual Meeting of the Institute of Nuclear Materials Management\u2013Atlanta, USA: Institute for Nuclear Materials and Management. vol.\u00a01, pp. 3139\u20133146 (2014)"},{"key":"68_CR18","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/j.wneu.2015.09.045","volume":"86","author":"R Singh","year":"2016","unstructured":"Singh, R., Baby, B., Damodaran, N., Srivastav, V., Suri, A., Banerjee, S., Kumar, S., Kalra, P., Prasad, S., Paul, K., et\u00a0al.: Design and validation of an open-source, partial task trainer for endonasal neuro-endoscopic skills development: Indian experience. World neurosurgery 86, 259\u2013269 (2016)","journal-title":"World neurosurgery"},{"key":"68_CR19","doi-asserted-by":"crossref","unstructured":"Wang, J., Wang, Z., Zhuang, S., Hao, Y., Wang, H.: Cross-enhancement transformer for action segmentation. Multimedia Tools and Applications pp. 1\u201314 (2023)","DOI":"10.1007\/s11042-023-16041-1"},{"key":"68_CR20","doi-asserted-by":"crossref","unstructured":"Wang, L., Huang, B., Zhao, Z., Tong, Z., He, Y., Wang, Y., Wang, Y., Qiao, Y.: Videomae v2: Scaling video masked autoencoders with dual masking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 14549\u201314560 (June 2023)","DOI":"10.1109\/CVPR52729.2023.01398"},{"key":"68_CR21","doi-asserted-by":"crossref","unstructured":"Xing, Z., Dai, Q., Hu, H., Chen, J., Wu, Z., Jiang, Y.G.: Svformer: Semi-supervised video transformer for action recognition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 18816\u201318826 (2023)","DOI":"10.1109\/CVPR52729.2023.01804"},{"key":"68_CR22","unstructured":"Yi, F., Wen, H., Jiang, T.: Asformer: Transformer for action segmentation. British Machine Vision Conference (BMVC) (2021)"},{"key":"68_CR23","doi-asserted-by":"crossref","unstructured":"Yun, S., Han, D., Oh, S.J., Chun, S., Choe, J., Yoo, Y.: Cutmix: Regularization strategy to train strong classifiers with localizable features. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 6023\u20136032 (2019)","DOI":"10.1109\/ICCV.2019.00612"},{"key":"68_CR24","unstructured":"Yun, S., Oh, S.J., Heo, B., Han, D., Kim, J.: Videomix: Rethinking data augmentation for video classification. arXiv preprint arXiv:2012.03457 (2020)"},{"key":"68_CR25","unstructured":"Zhang, H., Cisse, M., Dauphin, Y.N., Lopez-Paz, D.: mixup: Beyond empirical risk minimization. arXiv preprint arXiv:1710.09412 (2017)"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-72089-5_68","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T16:10:35Z","timestamp":1727885435000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72089-5_68"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031720888","9783031720895"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72089-5_68","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"3 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that\u00a0are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Marrakesh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2024\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}