{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T18:12:08Z","timestamp":1771956728083,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3746027.3758271","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T07:26:55Z","timestamp":1761377215000},"page":"13170-13176","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["FRED: The Florence RGB-Event Drone Dataset"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-1341-5931","authenticated-orcid":false,"given":"Gabriele","family":"Magrini","sequence":"first","affiliation":[{"name":"University of Florence, Florence, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4773-9617","authenticated-orcid":false,"given":"Niccol\u00f2","family":"Marini","sequence":"additional","affiliation":[{"name":"University of Florence, Florence, Florence, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2537-2700","authenticated-orcid":false,"given":"Federico","family":"Becattini","sequence":"additional","affiliation":[{"name":"University of Siena, Siena, Siena, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6131-1505","authenticated-orcid":false,"given":"Lorenzo","family":"Berlincioni","sequence":"additional","affiliation":[{"name":"University of Florence, Florence, Florence, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1153-1651","authenticated-orcid":false,"given":"Niccol\u00f2","family":"Biondi","sequence":"additional","affiliation":[{"name":"University of Florence, Florence, Florence, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5670-3774","authenticated-orcid":false,"given":"Pietro","family":"Pala","sequence":"additional","affiliation":[{"name":"University of Florence, Florence, Florence, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1052-8322","authenticated-orcid":false,"given":"Alberto Del","family":"Bimbo","sequence":"additional","affiliation":[{"name":"University of Florence, Florence, Italy"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIoT48696.2020.9089489"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00432"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1155\/2008\/246309"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3008413"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01334"},{"key":"e_1_3_2_1_6_1","volume-title":"Long short-term memory. Neural computation","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation, Vol. 9, 8 (1997), 1735-1780."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412991"},{"key":"e_1_3_2_1_8_1","volume-title":"Yolov11: An overview of the key architectural enhancements. arXiv preprint arXiv:2410.17725","author":"Khanam Rahima","year":"2024","unstructured":"Rahima Khanam and Muhammad Hussain. 2024. Yolov11: An overview of the key architectural enhancements. arXiv preprint arXiv:2410.17725 (2024)."},{"key":"e_1_3_2_1_9_1","first-page":"740","volume-title":"Switzerland","author":"Lin Tsung-Yi","year":"2014","unstructured":"Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll\u00e1r, and C Lawrence Zitnick. 2014. Microsoft coco: Common objects in context. In Computer vision-ECCV 2014: 13th European conference, zurich, Switzerland, September 6-12, 2014, proceedings, part v 13. Springer, 740-755."},{"key":"e_1_3_2_1_10_1","volume-title":"European Conference on Computer Vision. Springer.","author":"Lundin Anton","year":"2025","unstructured":"Anton Lundin, Rasmus Winzell, Hanna Hamrell, David Gustafsson, and Hannes Ovren. 2025. Drone Detection Using a Low-Power Neuromorphic Virtual Tripwire. In European Conference on Computer Vision. Springer."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Gabriele Magrini Federico Becattini Giovanni Colombo and Pietro Pala. 2025a. EV-Flying: an Event-based Dataset for In-The-Wild Recognition of Flying Objects. In Computer Vision and Pattern Recognition.","DOI":"10.1109\/CVPRW67362.2025.00487"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-92460-6_16"},{"key":"e_1_3_2_1_13_1","volume-title":"Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors. arXiv preprint arXiv:2403.11875","author":"Mandula Jakub","year":"2024","unstructured":"Jakub Mandula, Jonas K\u00fchne, Luca Pascarella, and Michele Magno. 2024a. Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors. arXiv preprint arXiv:2403.11875 (2024)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/I2MTC60896.2024.10561168"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","unstructured":"Li Miao Chen Nuo An Wei Li Boyang Ling Qiang and Li Weixing. 2024. Dual view fusion detection method for event camera detection of unmanned aerial vehicles. 240208 pages. doi:10.12086\/oee.2024.240208","DOI":"10.12086\/oee.2024.240208"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.5555\/3495724.3497120"},{"key":"e_1_3_2_1_17_1","first-page":"16639","article-title":"Learning to detect objects with a 1 megapixel event camera","volume":"33","author":"Perot Etienne","year":"2020","unstructured":"Etienne Perot, Pierre De Tournemire, Davide Nitti, Jonathan Masci, and Amos Sironi. 2020b. Learning to detect objects with a 1 megapixel event camera. Advances in Neural Information Processing Systems, Vol. 33 (2020), 16639-16652.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_18_1","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition. 652-660","author":"Qi Charles R","year":"2017","unstructured":"Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas. 2017a. Pointnet: Deep learning on point sets for 3d classification and segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition. 652-660."},{"key":"e_1_3_2_1_19_1","volume-title":"Pointnet: Deep hierarchical feature learning on point sets in a metric space. Advances in neural information processing systems","author":"Qi Charles Ruizhongtai","year":"2017","unstructured":"Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas. 2017b. Pointnet: Deep hierarchical feature learning on point sets in a metric space. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_1_20_1","volume-title":"Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems","author":"Ren Shaoqing","year":"2015","unstructured":"Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems, Vol. 28 (2015)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477145.3477264"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477145.3477264"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3546790.3546800"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9413241"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812059"},{"key":"e_1_3_2_1_26_1","volume-title":"Visevent: Reliable object tracking via collaboration of frame and event flows","author":"Wang Xiao","year":"2023","unstructured":"Xiao Wang, Jianing Li, Lin Zhu, Zhipeng Zhang, Zhe Chen, Xin Li, Yaowei Wang, Yonghong Tian, and Feng Wu. 2023. Visevent: Reliable object tracking via collaboration of frame and event flows. IEEE Transactions on Cybernetics (2023)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01821"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00168"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20047-2_1"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01605"}],"event":{"name":"MM '25: The 33rd ACM International Conference on Multimedia","location":"Dublin Ireland","acronym":"MM '25","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 33rd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746027.3758271","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T05:08:56Z","timestamp":1765343336000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3758271"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":30,"alternative-id":["10.1145\/3746027.3758271","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3758271","relation":{},"subject":[],"published":{"date-parts":[[2025,10,27]]},"assertion":[{"value":"2025-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}