{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:09:33Z","timestamp":1750219773932,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T00:00:00Z","timestamp":1686528000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"ISOLA","award":["H2020-883302"],"award-info":[{"award-number":["H2020-883302"]}]},{"name":"NESTOR","award":["H2020-101021851"],"award-info":[{"award-number":["H2020-101021851"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,6,12]]},"DOI":"10.1145\/3591106.3592255","type":"proceedings-article","created":{"date-parts":[[2023,6,8]],"date-time":"2023-06-08T22:33:38Z","timestamp":1686263618000},"page":"607-611","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Tweaking EfficientDet for frugal training"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2908-7843","authenticated-orcid":false,"given":"Georgios","family":"Orfanidis","sequence":"first","affiliation":[{"name":"Centre for Research &amp; Technology Hellas \/ Information Technologies Institute, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6767-8762","authenticated-orcid":false,"given":"Konstantinos","family":"Ioannidis","sequence":"additional","affiliation":[{"name":"Centre for Research &amp; Technology Hellas \/ Information Technologies Institute, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1288-3667","authenticated-orcid":false,"given":"Anastasios","family":"Tefas","sequence":"additional","affiliation":[{"name":"Aristotle University of Thessaloniki \/ Department of School of Informatics, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2505-9178","authenticated-orcid":false,"given":"Stefanos","family":"Vrochidis","sequence":"additional","affiliation":[{"name":"Centre for Research &amp; Technology Hellas \/ Information Technologies Institute, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6447-9020","authenticated-orcid":false,"given":"Ioannis","family":"Kompatsiaris","sequence":"additional","affiliation":[{"name":"Centre for Research &amp; Technology Hellas \/ Information Technologies Institute, Greece"}]}],"member":"320","published-online":{"date-parts":[[2023,6,12]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934","author":"Bochkovskiy Alexey","year":"2020","unstructured":"Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan\u00a0Mark Liao. 2020. Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934 (2020)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_2_1","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"e_1_3_2_1_3_1","volume-title":"Freezeout: Accelerate training by progressively freezing layers. arXiv preprint arXiv:1706.04983","author":"Brock Andrew","year":"2017","unstructured":"Andrew Brock, Theodore Lim, James\u00a0M Ritchie, and Nick Weston. 2017. Freezeout: Accelerate training by progressively freezing layers. arXiv preprint arXiv:1706.04983 (2017)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.1109\/CVPR.2018.00644"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1007\/s11263-014-0733-5"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_6_1","DOI":"10.1109\/ICCV.2015.169"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_7_1","DOI":"10.1109\/ICCV.2017.322"},{"key":"e_1_3_2_1_8_1","volume-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861","author":"Howard G","year":"2017","unstructured":"Andrew\u00a0G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam. 2017. Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861 (2017)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_9_1","DOI":"10.1109\/CVPR.2017.351"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_10_1","DOI":"10.1109\/BigData.2018.8621865"},{"key":"e_1_3_2_1_11_1","volume":"199","author":"Peter\u00a0","unstructured":"Peter\u00a0J Huber. 1992. Robust estimation of a location parameter. In Breakthroughs in statistics. Springer, 492\u2013518.","journal-title":"J Huber."},{"key":"e_1_3_2_1_12_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma P","year":"2014","unstructured":"Diederik\u00a0P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_13_1","volume-title":"Retrieved","author":"Klein Itay","year":"2017","unstructured":"Itay Klein. 2017. NEXET \u2014 The Largest and Most Diverse Road Dataset in the World. Retrieved Jan, 2023 from https:\/\/www.kaggle.com\/datasets\/solesensei\/nexet-original"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1007\/978-3-030-01264-9_45"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_15_1","DOI":"10.1109\/ICCV.2017.324"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1007\/978-3-319-10602-1_48"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"e_1_3_2_1_18_1","volume-title":"Rethinking the value of network pruning. arXiv preprint arXiv:1810.05270","author":"Liu Zhuang","year":"2018","unstructured":"Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, and Trevor Darrell. 2018. Rethinking the value of network pruning. arXiv preprint arXiv:1810.05270 (2018)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.1109\/ICCV.2019.00682"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_20_1","DOI":"10.1109\/CVPR.2016.91"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_21_1","DOI":"10.1109\/CVPR.2017.690"},{"key":"e_1_3_2_1_22_1","volume-title":"Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767","author":"Redmon Joseph","year":"2018","unstructured":"Joseph Redmon and Ali Farhadi. 2018. Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767 (2018)."},{"key":"e_1_3_2_1_23_1","volume-title":"Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems 28","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 28 (2015)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_24_1","DOI":"10.1109\/ICCV.2017.212"},{"key":"e_1_3_2_1_25_1","volume-title":"EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. In International conference on machine learning. PMLR, 6105\u20136114","author":"Tan Mingxing","year":"2019","unstructured":"Mingxing Tan and Quoc\u00a0V. Le. 2019. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. In International conference on machine learning. PMLR, 6105\u20136114."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_26_1","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"e_1_3_2_1_27_1","volume-title":"ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices. In IEEE conference on computer vision and pattern recognition.","author":"Zhang Xiangyu","year":"2018","unstructured":"Xiangyu Zhang, Xinyu Zhou, Mengxiao, Lin, and Jian Sun. 2018. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices. In IEEE conference on computer vision and pattern recognition."},{"key":"e_1_3_2_1_28_1","volume-title":"Objects as points. arXiv preprint arXiv:1904.07850","author":"Zhou Xingyi","year":"2019","unstructured":"Xingyi Zhou, Dequan Wang, and Philipp Kr\u00e4henb\u00fchl. 2019. Objects as points. arXiv preprint arXiv:1904.07850 (2019)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_29_1","DOI":"10.1007\/978-3-030-58545-7_6"}],"event":{"sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"acronym":"ICMR '23","name":"ICMR '23: International Conference on Multimedia Retrieval","location":"Thessaloniki Greece"},"container-title":["Proceedings of the 2023 ACM International Conference on Multimedia Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3591106.3592255","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3591106.3592255","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:30Z","timestamp":1750178250000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3591106.3592255"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,12]]},"references-count":29,"alternative-id":["10.1145\/3591106.3592255","10.1145\/3591106"],"URL":"https:\/\/doi.org\/10.1145\/3591106.3592255","relation":{},"subject":[],"published":{"date-parts":[[2023,6,12]]},"assertion":[{"value":"2023-06-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}