{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T04:06:53Z","timestamp":1745294813370,"version":"3.40.4"},"publisher-location":"Cham","reference-count":39,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031901669","type":"print"},{"value":"9783031901676","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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\/978-3-031-90167-6_3","type":"book-chapter","created":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T02:14:45Z","timestamp":1745288085000},"page":"34-50","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Large-Image Object Detection for\u00a0Fine-Grained Recognition of\u00a0Punches Patterns in\u00a0Medieval Panel Painting"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6260-3038","authenticated-orcid":false,"given":"Josh","family":"Bruegger","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0007-8090-2627","authenticated-orcid":false,"given":"Diana Ioana","family":"C\u0103tan\u0103","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7775-8165","authenticated-orcid":false,"given":"Vanja","family":"Macovaz","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5793-9498","authenticated-orcid":false,"given":"Matias","family":"Valdenegro-Toro","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7540-8616","authenticated-orcid":false,"given":"Matthia","family":"Sabatelli","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9920-9095","authenticated-orcid":false,"given":"Marco","family":"Zullich","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,20]]},"reference":[{"key":"3_CR1","series-title":"Lecture Notes in Electrical Engineering","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1007\/978-981-33-4080-0_64","volume-title":"Renewable Power for Sustainable Growth","author":"MF Ansari","year":"2021","unstructured":"Ansari, M.F., Lodi, K.A.: A survey of recent trends in two-stage object detection methods. In: Iqbal, A., Malik, H., Riyaz, A., Abdellah, K., Bayhan, S. (eds.) Renewable Power for Sustainable Growth. LNEE, vol. 723, pp. 669\u2013677. Springer, Singapore (2021). https:\/\/doi.org\/10.1007\/978-981-33-4080-0_64"},{"key":"3_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/978-3-319-16178-5_5","volume-title":"Computer Vision - ECCV 2014 Workshops","author":"Y Bar","year":"2015","unstructured":"Bar, Y., Levy, N., Wolf, L.: Classification of artistic styles using binarized features derived from a deep neural network. In: Agapito, L., Bronstein, M.M., Rother, C. (eds.) ECCV 2014. LNCS, vol. 8925, pp. 71\u201384. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16178-5_5"},{"issue":"5","key":"3_CR3","doi-asserted-by":"publisher","first-page":"14637","DOI":"10.1007\/s11042-023-15968-9","volume":"83","author":"S Bengamra","year":"2024","unstructured":"Bengamra, S., Mzoughi, O., Bigand, A., Zagrouba, E.: A comprehensive survey on object detection in Visual Art: taxonomy and challenge. Multimed. Tools Appl. 83(5), 14637\u201314670 (2024). https:\/\/doi.org\/10.1007\/s11042-023-15968-9","journal-title":"Multimed. Tools Appl."},{"key":"3_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"},{"issue":"1","key":"3_CR5","doi-asserted-by":"publisher","first-page":"89","DOI":"10.3390\/rs13010089","volume":"13","author":"M Carranza-Garc\u00eda","year":"2020","unstructured":"Carranza-Garc\u00eda, M., Torres-Mateo, J., Lara-Ben\u00edtez, P., Garc\u00eda-Guti\u00e9rrez, J.: On the performance of one-stage and two-stage object detectors in autonomous vehicles using camera data. Remote Sens. 13(1), 89 (2020)","journal-title":"Remote Sens."},{"key":"3_CR6","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.eswa.2018.07.026","volume":"114","author":"E Cetinic","year":"2018","unstructured":"Cetinic, E., Lipic, T., Grgic, S.: Fine-tuning convolutional neural networks for fine art classification. Expert Syst. Appl. 114, 107\u2013118 (2018)","journal-title":"Expert Syst. Appl."},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"Corridoni, J.M., Del\u00a0Bimbo, A., De\u00a0Magistris, S., Vicario, E.: A visual language for color-based painting retrieval. In: Proceedings 1996 IEEE Symposium on Visual Languages, pp. 68\u201375. IEEE (1996)","DOI":"10.1109\/VL.1996.545270"},{"key":"3_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1007\/978-3-319-44781-0_3","volume-title":"Artificial Neural Networks and Machine Learning \u2013 ICANN 2016","author":"OE David","year":"2016","unstructured":"David, O.E., Netanyahu, N.S.: DeepPainter: painter classification using deep convolutional autoencoders. In: Villa, A., Masulli, P., Pons Rivero, A.J. (eds.) ICANN 2016. LNCS, vol. 9887, pp. 20\u201328. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-44781-0_3"},{"issue":"sup1","key":"3_CR9","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1179\/sic.1972.17.s1.003","volume":"17","author":"MS Frinta","year":"1972","unstructured":"Frinta, M.S.: On the punched decoration in Medieval panel painting and manuscript illumination. Stud. Conserv. 17(sup1), 115\u2013121 (1972)","journal-title":"Stud. Conserv."},{"key":"3_CR10","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 580\u2013587 (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"3_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2021.103299","volume":"214","author":"N Gonthier","year":"2022","unstructured":"Gonthier, N., Ladjal, S., Gousseau, Y.: Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts. Comput. Vis. Image Underst. 214, 103299 (2022)","journal-title":"Comput. Vis. Image Underst."},{"key":"3_CR12","doi-asserted-by":"crossref","unstructured":"Hachimura, K.: Retrieval of paintings using principal color information. In: Proceedings of 13th International Conference on Pattern Recognition, vol.\u00a03, pp. 130\u2013134. IEEE (1996)","DOI":"10.1109\/ICPR.1996.546808"},{"issue":"4","key":"3_CR13","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1109\/MSP.2008.923513","volume":"25","author":"CR Johnson","year":"2008","unstructured":"Johnson, C.R., et al.: Image processing for artist identification. IEEE Signal Process. Mag. 25(4), 37\u201348 (2008). https:\/\/doi.org\/10.1109\/MSP.2008.923513","journal-title":"IEEE Signal Process. Mag."},{"key":"3_CR14","doi-asserted-by":"publisher","unstructured":"Kr\u00f6ner, S., Lattner, A.: Authentication of free hand drawings by pattern recognition methods. In: Proceedings of the Fourteenth International Conference on Pattern Recognition (Cat. No. 98EX170), vol.\u00a01, pp. 462\u2013464. IEEE Computer Society, Brisbane, QLD, Australia (1998). https:\/\/doi.org\/10.1109\/ICPR.1998.711180","DOI":"10.1109\/ICPR.1998.711180"},{"key":"3_CR15","unstructured":"Lettner, M., Kammerer, P., Sablatnig, R.: Texture analysis of painted strokes (2004)"},{"key":"3_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":"3_CR17","unstructured":"Mar\u00e9e, R., Geurts, P., Piater, J., Wehenkel, L.: A generic approach for image classification based on decision tree ensembles and local sub-windows. In: 6th Asian Conference on Computer Vision. Asian Federation of Computer Vision Societies (AFCV) (2004)"},{"key":"3_CR18","doi-asserted-by":"publisher","unstructured":"Melzer, T., Kammerer, P., Zolda, E.: Stroke detection of brush strokes in portrait miniatures using a semi-parametric and a model based approach. In: Proceedings of the Fourteenth International Conference on Pattern Recognition (Cat. No. 98EX170), vol.\u00a01, pp. 474\u2013476 (1998). https:\/\/doi.org\/10.1109\/ICPR.1998.711184","DOI":"10.1109\/ICPR.1998.711184"},{"key":"3_CR19","doi-asserted-by":"publisher","unstructured":"Milani, F., Fraternali, P.: A dataset and a convolutional model for iconography classification in paintings. J. Comput. Cultural Heritage (JOCCH) (2021). https:\/\/doi.org\/10.1145\/3458885","DOI":"10.1145\/3458885"},{"issue":"2","key":"3_CR20","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.jksus.2013.11.001","volume":"26","author":"L Nanni","year":"2014","unstructured":"Nanni, L., Lumini, A., Brahnam, S.: Ensemble of different local descriptors, codebook generation methods and subwindow configurations for building a reliable computer vision system. J. King Saud Univ.-Sci. 26(2), 89\u2013100 (2014)","journal-title":"J. King Saud Univ.-Sci."},{"key":"3_CR21","unstructured":"Paszke, A., et al.: Automatic differentiation in PyTorch (2017)"},{"key":"3_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/3-540-49430-8_3","volume-title":"Neural Networks: Tricks of the Trade","author":"L Prechelt","year":"1998","unstructured":"Prechelt, L.: Early stopping - but when? In: Orr, G.B., M\u00fcller, K.-R. (eds.) Neural Networks: Tricks of the Trade. LNCS, vol. 1524, pp. 55\u201369. Springer, Heidelberg (1998). https:\/\/doi.org\/10.1007\/3-540-49430-8_3"},{"key":"3_CR23","doi-asserted-by":"crossref","unstructured":"Redmon, J.: You only look once: unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2016)","DOI":"10.1109\/CVPR.2016.91"},{"issue":"6","key":"3_CR24","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2016","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(6), 1137\u20131149 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3_CR25","unstructured":"Ren, T., et al.: A strong and reproducible object detector with only public datasets. arXiv preprint arXiv:2304.13027 (2023)"},{"key":"3_CR26","unstructured":"Ross, T.Y., Doll\u00e1r, G.: Focal loss for dense object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2980\u20132988 (2017)"},{"key":"3_CR27","unstructured":"Sabatelli, M., et al.: Advances in digital music iconography: benchmarking the detection of musical instruments in unrestricted, non-photorealistic images from the artistic domain. Digit. Humanities Q. 15(1) (2021)"},{"key":"3_CR28","doi-asserted-by":"crossref","unstructured":"Sabatelli, M., Kestemont, M., Daelemans, W., Geurts, P.: Deep transfer learning for art classification problems. In: Proceedings of the European Conference on Computer Vision (ECCV) Workshops (2018)","DOI":"10.1007\/978-3-030-11012-3_48"},{"issue":"1","key":"3_CR29","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/s00521-020-05565-4","volume":"33","author":"I Santos","year":"2021","unstructured":"Santos, I., Castro, L., Rodriguez-Fernandez, N., Torrente-Pati\u00f1o, \u00c1., Carballal, A.: Artificial neural networks and deep learning in the visual arts: a review. Neural Comput. Appl. 33(1), 121\u2013157 (2021). https:\/\/doi.org\/10.1007\/s00521-020-05565-4","journal-title":"Neural Comput. Appl."},{"key":"3_CR30","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"753","DOI":"10.1007\/978-3-319-46604-0_52","volume-title":"Computer Vision \u2013 ECCV 2016 Workshops","author":"B Seguin","year":"2016","unstructured":"Seguin, B., Striolo, C., diLenardo, I., Kaplan, F.: Visual link retrieval in a database of paintings. In: Hua, G., J\u00e9gou, H. (eds.) ECCV 2016. LNCS, vol. 9913, pp. 753\u2013767. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46604-0_52"},{"key":"3_CR31","doi-asserted-by":"publisher","unstructured":"Shamir, L.: Computer analysis reveals similarities between the artistic styles of Van Gogh and Pollock. Leonardo (2012). https:\/\/doi.org\/10.1162\/LEON_a_00281","DOI":"10.1162\/LEON_a_00281"},{"key":"3_CR32","unstructured":"Skaug, E.S.: Punch marks\u2014what are they worth? Problems of Tuscan workshop interrelationships in the mid fourteenth-century: the Ovile master and Giovanni da Milano. In: La pittura nel XIV e XV secolo. Il contributo dell\u2019analisi tecnica alla storia dell\u2019arte, vol.\u00a03, pp. 253\u2013282 (1983)"},{"key":"3_CR33","unstructured":"Skaug, E.S.: Punch marks from Giotto to Fra Angelico: attribution, chronology, and workshop relationships in Tuscan panel painting, vol. 1\u20132, pp. 1330\u20131430. IIC, Nordic Group, the Norwegian section (1994)"},{"key":"3_CR34","doi-asserted-by":"crossref","unstructured":"Tyler, C.W., Smith, W.A., Stork, D.G.: In search of leonardo: computer-based facial image analysis of renaissance artworks for identifying leonardo as subject. In: Human Vision and Electronic Imaging XVII, vol.\u00a08291, pp. 407\u2013413. SPIE (2012)","DOI":"10.1117\/12.904749"},{"key":"3_CR35","doi-asserted-by":"crossref","unstructured":"Vogel, F.W., et al.: Fully automated detection of dendritic spines in 3D live cell imaging data using deep convolutional neural networks. bioRxiv, pp. 2023\u201301 (2023)","DOI":"10.1101\/2023.01.08.522220"},{"key":"3_CR36","unstructured":"Wang, A., et al.: Yolov10: real-time end-to-end object detection. arXiv preprint arXiv:2405.14458 (2024)"},{"issue":"4","key":"3_CR37","doi-asserted-by":"publisher","first-page":"261","DOI":"10.3390\/machines10040261","volume":"10","author":"J Wang","year":"2022","unstructured":"Wang, J., Su, S., Wang, W., Chu, C., Jiang, L., Ji, Y.: An object detection model for paint surface detection based on improved yolov3. Machines 10(4), 261 (2022)","journal-title":"Machines"},{"key":"3_CR38","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.ijthermalsci.2017.12.036","volume":"126","author":"Y Yao","year":"2018","unstructured":"Yao, Y., et al.: Active thermography testing and data analysis for the state of conservation of panel paintings. Int. J. Therm. Sci. 126, 143\u2013151 (2018)","journal-title":"Int. J. Therm. Sci."},{"key":"3_CR39","doi-asserted-by":"publisher","first-page":"5864","DOI":"10.1109\/ACCESS.2023.3236502","volume":"11","author":"M Zullich","year":"2023","unstructured":"Zullich, M., Macovaz, V., Pinna, G., Pellegrino, F.A.: An artificial intelligence system for automatic recognition of punches in fourteenth-century panel painting. IEEE Access 11, 5864\u20135883 (2023)","journal-title":"IEEE Access"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Music, Sound, Art and Design"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-90167-6_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T02:14:59Z","timestamp":1745288099000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-90167-6_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031901669","9783031901676"],"references-count":39,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-90167-6_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"20 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EvoMUSART","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Trieste","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"23 April 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 April 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"evomusart2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.evostar.org\/2025\/evomusart\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}