{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T17:51:43Z","timestamp":1743011503775,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819600250"},{"type":"electronic","value":"9789819600267"}],"license":[{"start":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T00:00:00Z","timestamp":1731715200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T00:00:00Z","timestamp":1731715200000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-0026-7_21","type":"book-chapter","created":{"date-parts":[[2024,11,15]],"date-time":"2024-11-15T19:01:33Z","timestamp":1731697293000},"page":"256-265","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Category-Aware Keypoint Masking to\u00a0Address Biases in\u00a0Semi-supervised 2D Pose Estimation"],"prefix":"10.1007","author":[{"given":"Xiangrui","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shushi","family":"hong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yucheng","family":"Fang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruirui","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,16]]},"reference":[{"key":"21_CR1","doi-asserted-by":"crossref","unstructured":"Yu, C., et al.: Lite-HRNet: a lightweight high-resolution network. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10440\u201310450 (2021)","DOI":"10.1109\/CVPR46437.2021.01030"},{"key":"21_CR2","doi-asserted-by":"crossref","unstructured":"Xiao, B., Wu, H., Wei, Y.: Simple baselines for human pose estimation and tracking. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 466\u2013481 (2018)","DOI":"10.1007\/978-3-030-01231-1_29"},{"key":"21_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1007\/978-3-319-46484-8_29","volume-title":"Computer Vision \u2013 ECCV 2016","author":"A Newell","year":"2016","unstructured":"Newell, A., Yang, K., Deng, J.: Stacked hourglass networks for human pose estimation. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9912, pp. 483\u2013499. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46484-8_29"},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Ke, L., Chang, M. C., Qi, H., Lyu, S.: Multi-scale structure-aware network for human pose estimation. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 713\u2013728 (2018)","DOI":"10.1007\/978-3-030-01216-8_44"},{"key":"21_CR5","unstructured":"Zhang, H., et al.: Human pose estimation with spatial contextual information. arXiv preprintarXiv:1901.01760 (2019)"},{"key":"21_CR6","doi-asserted-by":"crossref","unstructured":"Osokin, D.: Real-time 2D multi-person pose estimation on CPU: lightweight OpenPose. arXiv preprintarXiv:1811.12004 (2018)","DOI":"10.5220\/0007555407440748"},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Toshev, A., Szegedy, C.: DeepPose: human pose estimation via deep neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1653\u20131660 (2014)","DOI":"10.1109\/CVPR.2014.214"},{"key":"21_CR8","doi-asserted-by":"crossref","unstructured":"Xie, R., Wang, C., Zeng, W., Wang, Y.: An empirical study of the collapsing problem in semi-supervised 2D human pose estimation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 11240\u201311249 (2021)","DOI":"10.1109\/ICCV48922.2021.01105"},{"key":"21_CR9","doi-asserted-by":"crossref","unstructured":"Huang, L., et al.: Semi-supervised 2D human pose estimation driven by position inconsistency pseudo label correction module. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 693\u2013703 (2023)","DOI":"10.1109\/CVPR52729.2023.00074"},{"issue":"3","key":"21_CR10","doi-asserted-by":"publisher","first-page":"103078","DOI":"10.1016\/j.jksus.2023.103078","volume":"36","author":"W Jiaqi","year":"2024","unstructured":"Jiaqi, W., Pang, J., Huang, Q.: Decomposed channel based multi-stream ensemble: Improving consistency targets in semi-supervised 2D pose estimation. J. King Saud Univ. - Sci. 36(3), 103078 (2024)","journal-title":"J. King Saud Univ. - Sci."},{"key":"21_CR11","doi-asserted-by":"publisher","first-page":"109347","DOI":"10.1016\/j.patcog.2023.109347","volume":"137","author":"M Xu","year":"2023","unstructured":"Xu, M., Yoon, S., Fuentes, A., Park, D.S.: A comprehensive survey of image augmentation techniques for deep learning. Pattern Recogn. 137, 109347 (2023)","journal-title":"Pattern Recogn."},{"key":"21_CR12","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: 2019 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 6022\u20136031. IEEE (2019)","DOI":"10.1109\/ICCV.2019.00612"},{"key":"21_CR13","doi-asserted-by":"crossref","unstructured":"Cubuk, E.D., Zoph, B., Mane, D., Vasudevan, V., Le, Q.V.: AutoAugment: learning augmentation strategies from data. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 113\u2013123. IEEE (2019)","DOI":"10.1109\/CVPR.2019.00020"},{"key":"21_CR14","doi-asserted-by":"crossref","unstructured":"Gui, G., Zhao, Z., Qi, L., Zhou, L., Wang, L., Shi, Y.: Enhancing sample utilization through sample adaptive augmentation in semi-supervised learning. In: 2023 IEEE\/CVF International Conference on Computer Vision (ICCV)","DOI":"10.1109\/ICCV51070.2023.01455"},{"key":"21_CR15","doi-asserted-by":"crossref","unstructured":"Radosavovic, I., Doll\u00e1r, P., Girshick, R., Gkioxari, G., He, K.: Data distillation: towards omni-supervised learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4119\u20134128 (2018)","DOI":"10.1109\/CVPR.2018.00433"},{"key":"21_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T-Y Lin","year":"2014","unstructured":"Lin, T.-Y., et al.: Microsoft COCO: common objects in context. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 740\u2013755. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10602-1_48"},{"key":"21_CR17","doi-asserted-by":"crossref","unstructured":"Andriluka, M., Pishchulin, L., Gehler, P., Schiele, B.: 2D human pose estimation: new benchmark and state of the art analysis. In: Proceedings of the IEEE Conference on computer Vision and Pattern Recognition, pp. 3686\u20133693 (2014)","DOI":"10.1109\/CVPR.2014.471"},{"key":"21_CR18","doi-asserted-by":"crossref","unstructured":"Wu, J., et al.: Large-scale datasets for going deeper in image understanding. In: 2019 IEEE International Conference on Multimedia and Expo (ICME), pp. 1480\u20131485. IEEE (2019)","DOI":"10.1109\/ICME.2019.00256"}],"container-title":["Lecture Notes in Computer Science","Knowledge Management and Acquisition for Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0026-7_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,15]],"date-time":"2024-11-15T19:04:43Z","timestamp":1731697483000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0026-7_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,16]]},"ISBN":["9789819600250","9789819600267"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0026-7_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,16]]},"assertion":[{"value":"16 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PKAW","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Principle and Practice of Data and Knowledge Acquisition Workshop","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kyoto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","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":"18 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pkaw2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/pkawwebsite.github.io\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}