{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T03:21:55Z","timestamp":1776741715996,"version":"3.51.2"},"publisher-location":"Cham","reference-count":49,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032093707","type":"print"},{"value":"9783032093714","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-09371-4_2","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T00:03:30Z","timestamp":1767312210000},"page":"17-34","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Archival Faces: Detection of\u00a0Faces in\u00a0Digitized Historical Documents"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1404-4154","authenticated-orcid":false,"given":"Marek","family":"Va\u0161ko","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2143-9314","authenticated-orcid":false,"given":"Adam","family":"Herout","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6364-129X","authenticated-orcid":false,"given":"Michal","family":"Hradi\u0161","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"2_CR1","unstructured":"Anonymous: AnnoPage Dataset: dataset of non-textual objects in documents with fine-grained categorization. In: Paralel anonymous submission to (ICDAR 2025) (2025)"},{"key":"2_CR2","unstructured":"Bochkovskiy, A., Wang, C.Y., Liao, H.Y.M.: YOLOv4: Optimal Speed and Accuracy of Object Detection (Apr 2020). arXiv:2004.10934 [cs]"},{"key":"2_CR3","doi-asserted-by":"crossref","unstructured":"Boillet, M., Bonhomme, M.L., Stutzmann, D., Kermorvant, C.: HORAE: an annotated dataset of books of hours. In: Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, pp. 7\u201312. HIP \u201919, Association for Computing Machinery (2019)","DOI":"10.1145\/3352631.3352633"},{"key":"2_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/978-3-030-58452-8_13","volume-title":"Computer Vision \u2013 ECCV 2020","author":"N Carion","year":"2020","unstructured":"Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., Zagoruyko, S.: End-to-end object detection with transformers. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12346, pp. 213\u2013229. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58452-8_13"},{"key":"2_CR5","doi-asserted-by":"crossref","unstructured":"Chi, C., Zhang, S., Xing, J., Lei, Z., Li, S.Z., Zou, X.: Selective refinement network for high performance face detection. In: Proceedings of the AAAI Conference on Artificial Intelligence vol. 33(01), 8231\u20138238 (Jul 2019), number: 01","DOI":"10.1609\/aaai.v33i01.33018231"},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"Clausner, C., Antonacopoulos, A., Pletschacher, S.: ICDAR2019 competition on recognition of documents with complex layouts - RDCL2019. In: 2019 International Conference on Document Analysis and Recognition (ICDAR), pp. 1521\u20131526 (2019), ISSN: 2379-2140","DOI":"10.1109\/ICDAR.2019.00245"},{"key":"2_CR7","doi-asserted-by":"crossref","unstructured":"Dan, J., et al.: TransFace: calibrating transformer training for face recognition from a data-centric perspective. In: 2023 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 20585\u201320596. IEEE, Paris, France (Oct 2023)","DOI":"10.1109\/ICCV51070.2023.01887"},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"Deng, J., Guo, J., Zhou, Y., Yu, J., Kotsia, I., Zafeiriou, S.: RetinaFace: Single-stage Dense Face Localisation in the Wild (May 2019). arXiv:1905.00641 [cs]","DOI":"10.1109\/CVPR42600.2020.00525"},{"key":"2_CR9","unstructured":"Grattafiori, A., Dubey, A., et\u00a0al.: The Llama 3 Herd of Models (Nov 2024), arXiv:2407.21783 [cs]"},{"key":"2_CR10","unstructured":"Guo, J., Deng, J., Lattas, A., Zafeiriou, S.: Sample and Computation Redistribution for Efficient Face Detection (May 2021). arXiv:2105.04714"},{"key":"2_CR11","unstructured":"Jain, V., Learned-Miller, E.: FDDB: A Benchmark for Face Detection in Unconstrained Settings"},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"Jeong, J., Kim, B., Yu, J., Yoo, Y.: EResFD: rediscovery of the effectiveness of standard convolution for lightweight face detection. In: 2024 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 977\u2013987. IEEE, Waikoloa, HI, USA (Jan 2024)","DOI":"10.1109\/WACV57701.2024.00103"},{"key":"2_CR13","unstructured":"Jian: lightDSFD (Oct 2024), original-date: 2019-11-15T12:56:28Z"},{"key":"2_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1007\/978-3-030-58545-7_12","volume-title":"Computer Vision \u2013 ECCV 2020","author":"S Jin","year":"2020","unstructured":"Jin, S., et al.: Whole-body human pose estimation in the wild. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12354, pp. 196\u2013214. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58545-7_12"},{"key":"2_CR15","unstructured":"Jirou\u0161ek, V., et al.: Metodika zpracov\u00e1n\u00ed obrazov\u00fdch dokument\u016f (2024)"},{"key":"2_CR16","unstructured":"Jocher, G., Qiu, J.: Ultralytics YOLO11 (Jan 2024), original-date: 2022-09-11T16:39:45Z"},{"key":"2_CR17","unstructured":"Jocher, G., Qiu, J., Chaurasia, A.: Ultralytics YOLOv8 (Jan 2023), original-date: 2022-09-11T16:39:45Z"},{"key":"2_CR18","doi-asserted-by":"crossref","unstructured":"Kim, M., Jain, A.K., Liu, X.: AdaFace: quality adaptive margin for face recognition. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 18729\u201318738. IEEE, New Orleans, LA, USA (Jun 2022)","DOI":"10.1109\/CVPR52688.2022.01819"},{"key":"2_CR19","doi-asserted-by":"crossref","unstructured":"Li, J., et al.: DSFD: dual shot face detector. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5055\u20135064 (Jun 2019), iSSN: 2575-7075","DOI":"10.1109\/CVPR.2019.00520"},{"key":"2_CR20","doi-asserted-by":"crossref","unstructured":"Li, J., et al.: ASFD: automatic and scalable face detector. In: Proceedings of the 29th ACM International Conference on Multimedia, pp. 2139\u20132147. MM \u201921, Association for Computing Machinery, New York, NY, USA (Oct 2021)","DOI":"10.1145\/3474085.3475372"},{"key":"2_CR21","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":"2_CR22","doi-asserted-by":"crossref","unstructured":"Liu, Y., Wang, F., Deng, J., Zhou, Z., Sun, B., Li, H.: MogFace: towards a deeper appreciation on face detection. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4083\u20134092. IEEE, New Orleans, LA, USA (Jun 2022)","DOI":"10.1109\/CVPR52688.2022.00406"},{"key":"2_CR23","unstructured":"Loshchilov, I., Hutter, F.: Decoupled Weight Decay Regularization (Sep 2018)"},{"key":"2_CR24","doi-asserted-by":"crossref","unstructured":"Maze, B., et al.: IARPA janus benchmark - C: face dataset and protocol. In: 2018 International Conference on Biometrics (ICB), pp. 158\u2013165 (Feb 2018)","DOI":"10.1109\/ICB2018.2018.00033"},{"key":"2_CR25","doi-asserted-by":"crossref","unstructured":"Meng, D., et al.: Conditional DETR for fast training convergence. In: 2021 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 3631\u20133640. IEEE, Montreal, QC, Canada (Oct 2021)","DOI":"10.1109\/ICCV48922.2021.00363"},{"key":"2_CR26","unstructured":"Messer, K., Matas, J., Kittler, J., Luettin, J., Ma\u00eetre, G.: XM2VTSDB: The Extended M2VTS Database. In: Proceeidngs of the Second International Conference on Audio- and Video-based Biometric Person Authentication (AVBPA\u201999) (1999)"},{"key":"2_CR27","doi-asserted-by":"crossref","unstructured":"Monnier, T., Aubry, M.: docExtractor: an off-the-shelf historical document element extraction. In: 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp. 91\u201396 (2020)","DOI":"10.1109\/ICFHR2020.2020.00027"},{"key":"2_CR28","doi-asserted-by":"crossref","unstructured":"Pfitzmann, B., Auer, C., Dolfi, M., Nassar, A.S., Staar, P.: DocLayNet: A large human-annotated dataset for document-layout segmentation. In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 3743\u20133751. KDD \u201922, Association for Computing Machinery (2022)","DOI":"10.1145\/3534678.3539043"},{"key":"2_CR29","doi-asserted-by":"crossref","unstructured":"Phillips, P., et al.: Overview of the face recognition grand challenge. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201905), vol.\u00a01, pp. 947\u2013954 vol. 1 (Jun 2005), iSSN: 1063-6919","DOI":"10.1109\/CVPR.2005.268"},{"key":"2_CR30","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1007\/978-3-031-25072-9_15","volume-title":"Computer Vision \u2013 ECCV 2022 Workshops","author":"D Qi","year":"2023","unstructured":"Qi, D., Tan, W., Yao, Q., Liu, J.: YOLO5Face: why reinventing a face detector. In: Karlinsky, L., Michaeli, T., Nishino, K. (eds.) Computer Vision \u2013 ECCV 2022 Workshops, pp. 228\u2013244. Springer Nature Switzerland, Cham (2023)"},{"key":"2_CR31","doi-asserted-by":"crossref","unstructured":"Qin, L., et al.: SwinFace: a multi-task transformer for face recognition, expression recognition, age estimation and attribute estimation. IEEE Trans. Circ. Syst. Video Technol. 34(4), 2223\u20132234 (Apr 2024), conference Name: IEEE Transactions on Circuits and Systems for Video Technology","DOI":"10.1109\/TCSVT.2023.3304724"},{"key":"2_CR32","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"812","DOI":"10.1007\/978-3-030-01240-3_49","volume-title":"Computer Vision \u2013 ECCV 2018","author":"X Tang","year":"2018","unstructured":"Tang, X., Du, D.K., He, Z., Liu, J.: PyramidBox: a context-assisted single shot face detector. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11213, pp. 812\u2013828. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01240-3_49"},{"key":"2_CR33","unstructured":"Tian, Y., Ye, Q., Doermann, D.: YOLOv12: Attention-Centric Real-Time Object Detectors (Feb 2025), arXiv:2502.12524 [cs] version: 1"},{"key":"2_CR34","unstructured":"Ultralytics: YOLOv5: A state-of-the-art real-time object detection system"},{"issue":"2","key":"2_CR35","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1023\/B:VISI.0000013087.49260.fb","volume":"57","author":"P Viola","year":"2004","unstructured":"Viola, P., Jones, M.J.: Robust real-time face detection. Int. J. Comput. Vision 57(2), 137\u2013154 (2004)","journal-title":"Int. J. Comput. Vision"},{"key":"2_CR36","unstructured":"Wang, A., et al.: YOLOv10: Real-Time End-to-End Object Detection (Nov 2024)"},{"issue":"5","key":"2_CR37","doi-asserted-by":"publisher","first-page":"2825","DOI":"10.1007\/s00530-023-01134-6","volume":"29","author":"G Wang","year":"2023","unstructured":"Wang, G., Li, J., Wu, Z., Xu, J., Shen, J., Yang, W.: EfficientFace: an efficient deep network with feature enhancement for accurate face detection. Multimedia Syst. 29(5), 2825\u20132839 (2023)","journal-title":"Multimedia Syst."},{"key":"2_CR38","first-page":"121475","volume":"37","author":"W Wang","year":"2024","unstructured":"Wang, W., et al.: CogVLM: visual expert for pretrained language models. Adv. Neural. Inf. Process. Syst. 37, 121475\u2013121499 (2024)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"2_CR39","unstructured":"Wang, W., Zhang, J., Cao, Y., Shen, Y., Tao, D.: Towards data-efficient detection transformers. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) Computer Vision \u2013 ECCV 2022, vol. 13669, pp. 88\u2013105. Springer Nature Switzerland, Cham (2022), series Title: Lecture Notes in Computer Science"},{"issue":"5","key":"2_CR40","doi-asserted-by":"publisher","first-page":"656","DOI":"10.1007\/s11633-023-1423-y","volume":"20","author":"W Wu","year":"2023","unstructured":"Wu, W., Peng, H., Yu, S.: YuNet: a tiny millisecond-level face detector. Mach. Intell. Res. 20(5), 656\u2013665 (2023)","journal-title":"Mach. Intell. Res."},{"issue":"10","key":"2_CR41","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1016\/j.imavis.2013.12.004","volume":"32","author":"J Yan","year":"2014","unstructured":"Yan, J., Zhang, X., Lei, Z., Li, S.Z.: Face detection by structural models. Image Vis. Comput. 32(10), 790\u2013799 (2014)","journal-title":"Image Vis. Comput."},{"key":"2_CR42","doi-asserted-by":"crossref","unstructured":"Yang, S., Luo, P., Loy, C.C., Tang, X.: WIDER FACE: a face detection benchmark. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5525\u20135533. IEEE, Las Vegas, NV, USA (June 2016)","DOI":"10.1109\/CVPR.2016.596"},{"key":"2_CR43","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110714","volume":"155","author":"Z Yu","year":"2024","unstructured":"Yu, Z., Huang, H., Chen, W., Su, Y., Liu, Y., Wang, X.: YOLO-FaceV2: a scale and occlusion aware face detector. Pattern Recogn. 155, 110714 (2024)","journal-title":"Pattern Recogn."},{"key":"2_CR44","doi-asserted-by":"crossref","unstructured":"Zhang, K., Zhang, Z., Li, Z., Qiao, Y.: Joint face detection and alignment using multitask cascaded convolutional networks. IEEE Signal Process. Lett. 23(10), 1499\u20131503 (Oct 2016), conference Name: IEEE Signal Processing Letters","DOI":"10.1109\/LSP.2016.2603342"},{"key":"2_CR45","doi-asserted-by":"crossref","unstructured":"Zhang, S., Zhu, X., Lei, Z., Shi, H., Wang, X., Li, S.Z.: S$$\\hat{\\,}$$3FD: Single Shot Scale-Invariant Face Detector. In: 2017 IEEE International Conference on Computer Vision (ICCV), pp. 192\u2013201. IEEE, Venice (Oct 2017)","DOI":"10.1109\/ICCV.2017.30"},{"key":"2_CR46","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Shen, W., Qiao, S., Wang, Y., Wang, B., Yuille, A.: Robust face detection via learning small faces on hard images. In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1350\u20131359. IEEE, Snowmass Village, CO, USA (Mar 2020)","DOI":"10.1109\/WACV45572.2020.9093445"},{"key":"2_CR47","doi-asserted-by":"crossref","unstructured":"Zhao, Y., et al.: DETRs Beat YOLOs on real-time object detection. In: 2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16965\u201316974. IEEE, Seattle, WA, USA (Jun 2024)","DOI":"10.1109\/CVPR52733.2024.01605"},{"key":"2_CR48","doi-asserted-by":"crossref","unstructured":"Zhu, X., Ramanan, D.: Face detection, pose estimation, and landmark localization in the wild. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2879\u20132886 (Jun 2012), iSSN: 1063\u20136919","DOI":"10.1109\/CVPR.2012.6248014"},{"key":"2_CR49","unstructured":"Zhu, Y., Cai, H., Zhang, S., Wang, C., Xiong, Y.: TinaFace: Strong but Simple Baseline for Face Detection (Jan 2021), arXiv:2011.13183 [cs]"}],"container-title":["Lecture Notes in Computer Science","Document Analysis and Recognition \u2013 ICDAR 2025 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-09371-4_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T00:03:33Z","timestamp":1767312213000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-09371-4_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032093707","9783032093714"],"references-count":49,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-09371-4_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare relevant to this article\u2019s content.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"ICDAR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Document Analysis and Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icdar2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iapr.org\/icdar2025","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}