{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T21:49:41Z","timestamp":1730324981210,"version":"3.28.0"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,12,6]]},"DOI":"10.1145\/3492324.3494168","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T17:08:36Z","timestamp":1642093716000},"page":"101-110","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Individual Feral Cat Identification through Deep Learning"],"prefix":"10.1145","author":[{"given":"Zihan","family":"Yang","sequence":"first","affiliation":[{"name":"School of Computing and Information Systems, The University of Melbourne, Australia"}]},{"given":"Richard","family":"Sinnott","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, The University of Melbourne, Australia"}]},{"given":"Qiuhong","family":"Ke","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, The University of Melbourne, Australia"}]},{"given":"James","family":"Bailey","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, The University of Melbourne, Australia"}]}],"member":"320","published-online":{"date-parts":[[2022,1,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00033"},{"key":"e_1_3_2_1_2_1","unstructured":"Hessam Bagherinezhad Maxwell Horton Mohammad Rastegari and Ali Farhadi. 2018. Label refinery: Improving imagenet classification through label progression. arXiv preprint arXiv:1805.02641(2018). Hessam Bagherinezhad Maxwell Horton Mohammad Rastegari and Ali Farhadi. 2018. Label refinery: Improving imagenet classification through label progression. arXiv preprint arXiv:1805.02641(2018)."},{"key":"e_1_3_2_1_3_1","volume-title":"International Conference on Machine Learning. PMLR, 543\u2013553","author":"Bai Yu","year":"2021","unstructured":"Yu Bai , Minshuo Chen , Pan Zhou , Tuo Zhao , Jason Lee , Sham Kakade , Huan Wang , and Caiming Xiong . 2021 . How Important is the Train-Validation Split in Meta-Learning? . In International Conference on Machine Learning. PMLR, 543\u2013553 . Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason Lee, Sham Kakade, Huan Wang, and Caiming Xiong. 2021. How Important is the Train-Validation Split in Meta-Learning?. In International Conference on Machine Learning. PMLR, 543\u2013553."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1071\/WR11134"},{"key":"e_1_3_2_1_5_1","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). 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)."},{"volume-title":"Neural networks: Tricks of the trade","author":"Bottou L\u00e9on","key":"e_1_3_2_1_6_1","unstructured":"L\u00e9on Bottou . 2012. Stochastic gradient descent tricks . In Neural networks: Tricks of the trade . Springer , 421\u2013436. L\u00e9on Bottou. 2012. Stochastic gradient descent tricks. In Neural networks: Tricks of the trade. Springer, 421\u2013436."},{"key":"e_1_3_2_1_7_1","unstructured":"Yuntao Chen Chenxia Han Naiyan Wang and Zhaoxiang Zhang. 2019. Revisiting feature alignment for one-stage object detection. arXiv preprint arXiv:1908.01570(2019). Yuntao Chen Chenxia Han Naiyan Wang and Zhaoxiang Zhang. 2019. Revisiting feature alignment for one-stage object detection. arXiv preprint arXiv:1908.01570(2019)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/2041-210X.13256"},{"key":"e_1_3_2_1_9_1","volume-title":"Review of cat ecology and management strategies in Australia","author":"Denny A","year":"2010","unstructured":"Elizabeth\u00a0 A Denny and CR Dickman . 2010. Review of cat ecology and management strategies in Australia . Invasive Animals Cooperative Research Centre , Canberra ( 2010 ). Elizabeth\u00a0A Denny and CR Dickman. 2010. Review of cat ecology and management strategies in Australia. Invasive Animals Cooperative Research Centre, Canberra (2010)."},{"key":"e_1_3_2_1_10_1","unstructured":"Terrance DeVries and Graham\u00a0W Taylor. 2017. Improved regularization of convolutional neural networks with cutout. arXiv preprint arXiv:1708.04552(2017). Terrance DeVries and Graham\u00a0W Taylor. 2017. Improved regularization of convolutional neural networks with cutout. arXiv preprint arXiv:1708.04552(2017)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1071\/WR98067"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/2041-210X.13436"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1071\/WR19216"},{"key":"e_1_3_2_1_14_1","first-page":"549","article-title":"Advantages of hybrid deep learning frameworks in applications with limited data","volume":"8","author":"Gavrishchaka Valeriy","year":"2018","unstructured":"Valeriy Gavrishchaka , Zhenyi Yang , Rebecca Miao , and Olga Senyukova . 2018 . Advantages of hybrid deep learning frameworks in applications with limited data . International Journal of Machine Learning and Computing 8 , 6 (2018), 549 \u2013 558 . Valeriy Gavrishchaka, Zhenyi Yang, Rebecca Miao, and Olga Senyukova. 2018. Advantages of hybrid deep learning frameworks in applications with limited data. International Journal of Machine Learning and Computing 8, 6 (2018), 549\u2013558.","journal-title":"International Journal of Machine Learning and Computing"},{"key":"e_1_3_2_1_15_1","volume-title":"Dealing with Unbalanced Data in Machine Learning. Sitewide ATOM","author":"Glander Shirin","year":"2017","unstructured":"Shirin Glander . 2017. Dealing with Unbalanced Data in Machine Learning. Sitewide ATOM ( 2017 ). Shirin Glander. 2017. Dealing with Unbalanced Data in Machine Learning. Sitewide ATOM (2017)."},{"key":"e_1_3_2_1_16_1","volume-title":"Improved Mosaic: Algorithms for more Complex Images. In Journal of Physics: Conference Series, Vol.\u00a01684","author":"Hao Wang","year":"2020","unstructured":"Wang Hao and Song Zhili . 2020 . Improved Mosaic: Algorithms for more Complex Images. In Journal of Physics: Conference Series, Vol.\u00a01684 . IOP Publishing , 012094. Wang Hao and Song Zhili. 2020. Improved Mosaic: Algorithms for more Complex Images. In Journal of Physics: Conference Series, Vol.\u00a01684. IOP Publishing, 012094."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_19_1","volume-title":"A survey of automatic parameter tuning methods for metaheuristics","author":"Huang Changwu","year":"2019","unstructured":"Changwu Huang , Yuanxiang Li , and Xin Yao . 2019. A survey of automatic parameter tuning methods for metaheuristics . IEEE transactions on evolutionary computation 24, 2( 2019 ), 201\u2013216. Changwu Huang, Yuanxiang Li, and Xin Yao. 2019. A survey of automatic parameter tuning methods for metaheuristics. IEEE transactions on evolutionary computation 24, 2(2019), 201\u2013216."},{"key":"#cr-split#-e_1_3_2_1_20_1.1","unstructured":"Glenn Jocher. 2020. ultralytics\/yolov5: v3.1 - Bug Fixes and Performance Improvements. https:\/\/doi.org\/10.5281\/zenodo.4154370 10.5281\/zenodo.4154370"},{"key":"#cr-split#-e_1_3_2_1_20_1.2","unstructured":"Glenn Jocher. 2020. ultralytics\/yolov5: v3.1 - Bug Fixes and Performance Improvements. https:\/\/doi.org\/10.5281\/zenodo.4154370"},{"volume-title":"Australia\u2019s mammal extinctions: a 50,000-year history","author":"Johnson Chris","key":"e_1_3_2_1_21_1","unstructured":"Chris Johnson . 2006. Australia\u2019s mammal extinctions: a 50,000-year history . Cambridge University Press . Chris Johnson. 2006. Australia\u2019s mammal extinctions: a 50,000-year history. Cambridge University Press."},{"key":"e_1_3_2_1_22_1","unstructured":"Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng and Yannis Kalantidis. 2019. Decoupling representation and classifier for long-tailed recognition. arXiv preprint arXiv:1910.09217(2019). Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng and Yannis Kalantidis. 2019. Decoupling representation and classifier for long-tailed recognition. arXiv preprint arXiv:1910.09217(2019)."},{"key":"e_1_3_2_1_23_1","unstructured":"Nitish\u00a0Shirish Keskar Dheevatsa Mudigere Jorge Nocedal Mikhail Smelyanskiy and Ping Tak\u00a0Peter Tang. 2016. On large-batch training for deep learning: Generalization gap and sharp minima. arXiv preprint arXiv:1609.04836(2016). Nitish\u00a0Shirish Keskar Dheevatsa Mudigere Jorge Nocedal Mikhail Smelyanskiy and Ping Tak\u00a0Peter Tang. 2016. On large-batch training for deep learning: Generalization gap and sharp minima. arXiv preprint arXiv:1609.04836(2016)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01247-4"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Emilio\u00a0Soria Olivas. 2009. Handbook of Research on Machine Learning Applications and Trends: Algorithms Methods and Techniques: Algorithms Methods and Techniques. IGI Global. Emilio\u00a0Soria Olivas. 2009. Handbook of Research on Machine Learning Applications and Trends: Algorithms Methods and Techniques: Algorithms Methods and Techniques. IGI Global.","DOI":"10.4018\/978-1-60566-766-9"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"e_1_3_2_1_28_1","unstructured":"Joseph Redmon and Ali Farhadi. 2018. Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767(2018). Joseph Redmon and Ali Farhadi. 2018. Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767(2018)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biocon.2019.108287"},{"key":"e_1_3_2_1_30_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 ), 91\u201399. 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), 91\u201399."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.2984\/1534-6188(2007)61[307:BAIOPI]2.0.CO;2"},{"volume-title":"Membrane Trafficking","author":"Royle J","key":"e_1_3_2_1_32_1","unstructured":"Stephen\u00a0 J Royle , Bj\u00f6rn Granseth , Benjamin Odermatt , Aude Derevier , and Leon Lagnado . 2008. Imaging phluorin-based probes at hippocampal synapses . In Membrane Trafficking . Springer , 293\u2013303. Stephen\u00a0J Royle, Bj\u00f6rn Granseth, Benjamin Odermatt, Aude Derevier, and Leon Lagnado. 2008. Imaging phluorin-based probes at hippocampal synapses. In Membrane Trafficking. Springer, 293\u2013303."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1098\/rspb.2006.0444"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.5555\/3298023.3298188"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00575"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCC51575.2020.9345042"},{"key":"e_1_3_2_1_39_1","volume-title":"Deep learning for person re-identification: A survey and outlook","author":"Ye Mang","year":"2021","unstructured":"Mang Ye , Jianbing Shen , Gaojie Lin , Tao Xiang , Ling Shao , and Steven\u00a0 CH Hoi . 2021. Deep learning for person re-identification: A survey and outlook . IEEE Transactions on Pattern Analysis and Machine Intelligence ( 2021 ). Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, and Steven\u00a0CH Hoi. 2021. Deep learning for person re-identification: A survey and outlook. IEEE Transactions on Pattern Analysis and Machine Intelligence (2021)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"e_1_3_2_1_41_1","unstructured":"Hongyi Zhang Moustapha Cisse Yann\u00a0N Dauphin and David Lopez-Paz. 2017. mixup: Beyond empirical risk minimization. arXiv preprint arXiv:1710.09412(2017). Hongyi Zhang Moustapha Cisse Yann\u00a0N Dauphin and David Lopez-Paz. 2017. mixup: Beyond empirical risk minimization. arXiv preprint arXiv:1710.09412(2017)."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7000"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59612-5_7"}],"event":{"name":"BDCAT '21: 2021 IEEE\/ACM 8th International Conference on Big Data Computing, Applications and Technologies","sponsor":["SIGARCH ACM Special Interest Group on Computer Architecture"],"location":"Leicester United Kingdom","acronym":"BDCAT '21"},"container-title":["2021 IEEE\/ACM 8th International Conference on Big Data Computing, Applications and Technologies (BDCAT '21)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3492324.3494168","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T06:50:39Z","timestamp":1672987839000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3492324.3494168"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,6]]},"references-count":44,"alternative-id":["10.1145\/3492324.3494168","10.1145\/3492324"],"URL":"https:\/\/doi.org\/10.1145\/3492324.3494168","relation":{},"subject":[],"published":{"date-parts":[[2021,12,6]]},"assertion":[{"value":"2022-01-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}