{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T20:30:20Z","timestamp":1786998620962,"version":"build-2736575974"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T00:00:00Z","timestamp":1785196800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T00:00:00Z","timestamp":1785196800000},"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":["SIViP"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1007\/s11760-026-05583-0","type":"journal-article","created":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T08:01:39Z","timestamp":1785225699000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Mitigating semantic drift in contrastive learning: application to image-based sign language recognition"],"prefix":"10.1007","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2101-580X","authenticated-orcid":false,"given":"Ariel","family":"Basso Madjoukeng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pierre","family":"Poitier","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edith","family":"Belise Kengmogne","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benoit","family":"Fr\u00e9nay","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,28]]},"reference":[{"key":"5583_CR1","unstructured":"Al-Barham, M.: RGB arabic alphabets sign language dataset (2023)"},{"key":"5583_CR2","doi-asserted-by":"crossref","unstructured":"Bromley, J., Guyon, I., LeCun, Y., S\u00e4ckinger, E., Shah, R.: Signature verification using a\" siamese\" time delay neural network. Proc. NeurIPS 6, (1993)","DOI":"10.1142\/9789812797926_0003"},{"key":"5583_CR3","unstructured":"Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: ICML pages 1597\u20131607. PmLR (2020)"},{"key":"5583_CR4","doi-asserted-by":"crossref","unstructured":"Chen, X., He, K.: Exploring simple siamese representation learning. In: Proc. CVPR, pages 15750\u201315758 (2021)","DOI":"10.1109\/CVPR46437.2021.01549"},{"key":"5583_CR5","first-page":"21271","volume":"33","author":"J-B Grill","year":"2020","unstructured":"Grill, J.-B., Strub, F., Altch\u00e9, F., Tallec, C., Richemond, P., Buchatskaya, E., Doersch, C., Avila Pires, B., Guo, Z., Azar, M.G.: Bootstrap your own latent-a new approach to self-supervised learning. Proc. NeurIPS 33, 21271\u201321284 (2020)","journal-title":"Proc. NeurIPS"},{"key":"5583_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2023.104754","volume":"136","author":"H Guo","year":"2023","unstructured":"Guo, H., Shi, L.: Contrastive learning with semantic consistency constraint. Image Vis. Comput. 136, 104754 (2023)","journal-title":"Image Vis. Comput."},{"key":"5583_CR7","doi-asserted-by":"crossref","unstructured":"He, K., Fan, H., Wu, Y., Xie, S., Girshick, R.: Momentum contrast for unsupervised visual representation learning. In: Proc. CVPR, pages 9729\u20139738 (2020)","DOI":"10.1109\/CVPR42600.2020.00975"},{"issue":"5786","key":"5583_CR8","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504\u2013507 (2006)","journal-title":"Science"},{"key":"5583_CR9","unstructured":"Hinton, G.E., Zemel, R.: Autoencoders, minimum description length and helmholtz free energy. Proc. NeurIPS 6, (1993)"},{"key":"5583_CR10","doi-asserted-by":"crossref","unstructured":"Huynh, T., Kornblith, S., Walter, M.R., Maire, M., Khademi, M.: Boosting contrastive self-supervised learning with false negative cancellation. In: Proc. WACV pages 2785\u20132795 (2022)","DOI":"10.1109\/WACV51458.2022.00106"},{"key":"5583_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.array.2022.100141","volume":"14","author":"S Katoch","year":"2022","unstructured":"Katoch, S., Singh, V., Tiwary, U.: Indian sign language recognition system using surf with svm and cnn. Array 14, 100141 (2022)","journal-title":"Array"},{"key":"5583_CR12","doi-asserted-by":"crossref","unstructured":"Kothadiya, D.R., Bhatt, C.M., Rida, I.: Simsiam network based self-supervised model for sign language recognition. In: Proc. ISPR, pages 3\u201313. Springer, (2023)","DOI":"10.1007\/978-3-031-46338-9_1"},{"key":"5583_CR13","unstructured":"Li, J., Zhou, P., Xiong, C., Hoi, S.C.: Prototypical contrastive learning of unsupervised representations, (2020). arXiv preprint arXiv:2005.04966"},{"key":"5583_CR14","doi-asserted-by":"crossref","unstructured":"Madjoukeng, A.B., Fink, J., Poitier, P., Kenmogne, E.B., Fr\u00e9nay, B.: Benchmarking data augmentation for contrastive learning in static sign language recognition. In: Proc. ESANN. i6doc. com (2025)","DOI":"10.1007\/978-3-031-91398-3_5"},{"key":"5583_CR15","unstructured":"Madjoukeng, A.B., Fink, J., Poitier, P., Kenmogne, E.B., Frenay, B.: SSL-SLR: Self-supervised representation learning for sign language recognition. Transactions on Machine Learning Research (2026)"},{"key":"5583_CR16","doi-asserted-by":"crossref","unstructured":"Madjoukeng, A.B., Kenmogne, E.B., Poitier, P., Fr\u00e9nay, B., Fink, J.: Local-global data augmentation for contrastive learning in static sign language recognition. In: Proc. IDA, pages 54\u201366. Springer, (2025)","DOI":"10.1007\/978-3-031-91398-3_5"},{"key":"5583_CR17","doi-asserted-by":"crossref","unstructured":"McInnes, L., Healy, J., Melville, J.: Umap: uniform manifold approximation and projection for dimension reduction. 10, (2018) arxiv. arXiv preprint arXiv:1802.03426","DOI":"10.21105\/joss.00861"},{"key":"5583_CR18","unstructured":"McQueen, J.B.: Some methods of classification and analysis of multivariate observations. In: Proc. of 5th Berkeley Symposium on Math. Stat. and Prob., pages 281\u2013297, (1967)"},{"key":"5583_CR19","unstructured":"Mittal, S., Rao, D.: Regional priority based anomaly detection using autoencoders, (2018). arXiv preprint arXiv:1804.00492"},{"key":"5583_CR20","unstructured":"Mohsin, S., Salim, B., Mohamedsaeed, A., Ibrahim, B., Zeebaree, S.: American sign language recognition based on transfer learning algorithms. Proc. IJISAE pages 390\u2013399 (2024)"},{"key":"5583_CR21","unstructured":"Nagaraj, A.: Kaggle asl alphabet (2018)"},{"key":"5583_CR22","unstructured":"Noer, A.: Bahasa isyarat indonesia (bisindo) alphabets. Kaggle Dataset"},{"key":"5583_CR23","doi-asserted-by":"crossref","unstructured":"Renz, K., Stache, N.C., Albanie, S., Varol, G.: Sign language segmentation with temporal convolutional networks. In: Proc. ICASSP, pages 2135\u20132139. IEEE (2021)","DOI":"10.1109\/ICASSP39728.2021.9413817"},{"issue":"12","key":"5583_CR24","doi-asserted-by":"publisher","first-page":"6685","DOI":"10.1007\/s00521-020-05448-8","volume":"33","author":"A Sharma","year":"2021","unstructured":"Sharma, A., Sharma, N., Saxena, Y., Singh, A., Sadhya, D.: Benchmarking deep neural network approaches for indian sign language recognition. Neural Comput. Appl. 33(12), 6685\u20136696 (2021)","journal-title":"Neural Comput. Appl."},{"issue":"12","key":"5583_CR25","first-page":"59","volume":"9","author":"ME Walizad","year":"2020","unstructured":"Walizad, M.E., Hurroo, M.: Sign language recognition system using convolutional neural network and computer vision. Int. J. Eng. Res. Technol 9(12), 59\u201364 (2020)","journal-title":"Int. J. Eng. Res. Technol"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-026-05583-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-026-05583-0","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-026-05583-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T19:28:09Z","timestamp":1786994889000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-026-05583-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,28]]},"references-count":25,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2026,8]]}},"alternative-id":["5583"],"URL":"https:\/\/doi.org\/10.1007\/s11760-026-05583-0","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,28]]},"assertion":[{"value":"19 January 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 July 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 July 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 July 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"529"}}