{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T15:10:06Z","timestamp":1755875406755,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T00:00:00Z","timestamp":1725408000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"MCIN\/AEI\/10.13039\/- 501100011033","award":["TED2021-130890B"],"award-info":[{"award-number":["TED2021-130890B"]}]},{"name":"HORIZON MSCA- 2021-SE-0","award":["action number: 101086387"],"award-info":[{"award-number":["action number: 101086387"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,9,4]]},"DOI":"10.1145\/3677525.3678681","type":"proceedings-article","created":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T18:23:25Z","timestamp":1723055005000},"page":"350-357","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Bird Action Recognition in Wetlands using Deep Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-0241-5221","authenticated-orcid":false,"given":"Javier","family":"Rodriguez-Juan","sequence":"first","affiliation":[{"name":"Department of Computers Technology, University of Alicante, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8795-3800","authenticated-orcid":false,"given":"Adrian","family":"Berenguer-Agullo","sequence":"additional","affiliation":[{"name":"Department of Computers Technology, University of Alicante, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8809-8476","authenticated-orcid":false,"given":"Manuel","family":"Benavent-Lledo","sequence":"additional","affiliation":[{"name":"Department of Computers Technology, University of Alicante, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1712-7265","authenticated-orcid":false,"given":"David","family":"Mulero-Perez","sequence":"additional","affiliation":[{"name":"Department of Computers Technology, University of Alicante, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7798-3055","authenticated-orcid":false,"given":"Jose","family":"Garcia-Rodriguez","sequence":"additional","affiliation":[{"name":"Department of Computers Technology, University of Alicante, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7229-1845","authenticated-orcid":false,"given":"Esther","family":"Sebasti\u00e1n-Gonz\u00e1lez","sequence":"additional","affiliation":[{"name":"Department of Ecology, University of Alicante, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,9,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/SiPS52927.2021.00015"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2023.107707"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.atech.2022.100163"},{"volume-title":"International Work-Conference on the Interplay Between Natural and Artificial Computation","author":"Berenguer-Agullo Adrian","key":"e_1_3_2_1_4_1","unstructured":"Adrian Berenguer-Agullo, Javier Rodriguez-Juan, David Ortiz-Perez, and Jose Garcia-Rodriguez. 2024. Lightweight CNNs for Advanced Bird Species Recognition on the Edge. In International Work-Conference on the Interplay Between Natural and Artificial Computation. Springer, 95\u2013104."},{"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:2004.10934\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2004.10934"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2021.106255"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.3390\/ani12131711"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3261988"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Haoqi Fan Bo Xiong Karttikeya Mangalam Yanghao Li Zhicheng Yan Jitendra Malik and Christoph Feichtenhofer. 2021. Multiscale Vision Transformers. arxiv:2104.11227","DOI":"10.1109\/ICCV48922.2021.00675"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolind.2020.106728"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12173643"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"e_1_3_2_1_15_1","volume-title":"Eye View: Measuring Behavior and Posture of Chickens as a Metric for Their Well-Being. arXiv preprint arXiv:2205.00069","author":"Joo Kevin\u00a0Hyekang","year":"2022","unstructured":"Kevin\u00a0Hyekang Joo, Shiyuan Duan, Shawna\u00a0L Weimer, and Mohammad\u00a0Nayeem Teli. 2022. Birds\u2019 Eye View: Measuring Behavior and Posture of Chickens as a Metric for Their Well-Being. arXiv preprint arXiv:2205.00069 (2022)."},{"key":"e_1_3_2_1_16_1","unstructured":"Will Kay Joao Carreira Karen Simonyan Brian Zhang Chloe Hillier Sudheendra Vijayanarasimhan Fabio Viola Tim Green Trevor Back Paul Natsev Mustafa Suleyman and Andrew Zisserman. 2017. The Kinetics Human Action Video Dataset. arxiv:1705.06950https:\/\/arxiv.org\/abs\/1705.06950"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01594-9"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolind.2022.109141"},{"key":"e_1_3_2_1_19_1","unstructured":"Ze Liu Jia Ning Yue Cao Yixuan Wei Zheng Zhang Stephen Lin and Han Hu. 2021. Video Swin Transformer. arxiv:2106.13230https:\/\/arxiv.org\/abs\/2106.13230"},{"key":"e_1_3_2_1_20_1","unstructured":"C Meijer S Verhoeven E Ranguelova CJ Camphuysen J Shamoun-Baranes and W Bouten. 2016. Visually supported annotation of bird tracking data and subsequent classification of behaviour using machine learning."},{"key":"e_1_3_2_1_21_1","unstructured":"Michael Perez and Corey Toler-Franklin. 2023. CNN-Based Action Recognition and Pose Estimation for Classifying Animal Behavior from Videos: A Survey. arxiv:2301.06187https:\/\/arxiv.org\/abs\/2301.06187"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2021.101215"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.3390\/agriculture13030738"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_2_1_25_1","volume-title":"MnasNet: Platform-Aware Neural Architecture Search for Mobile. arXiv:1807.11626","author":"Mingxing Tan","year":"2019","unstructured":"Mingxing Tan 2019. MnasNet: Platform-Aware Neural Architecture Search for Mobile. arXiv:1807.11626 (2019)."},{"key":"e_1_3_2_1_26_1","volume-title":"Proceedings of the 36th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a097)","author":"Tan Mingxing","year":"2019","unstructured":"Mingxing Tan and Quoc Le. 2019. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. In Proceedings of the 36th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a097), Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). PMLR, 6105\u20136114. https:\/\/proceedings.mlr.press\/v97\/tan19a.html"},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of the 38th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a0139)","author":"Tan Mingxing","year":"2021","unstructured":"Mingxing Tan and Quoc Le. 2021. EfficientNetV2: Smaller Models and Faster Training. In Proceedings of the 38th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a0139), Marina Meila and Tong Zhang (Eds.). PMLR, 10096\u201310106. https:\/\/proceedings.mlr.press\/v139\/tan21a.html"},{"key":"e_1_3_2_1_28_1","unstructured":"Hansen Thambi\u00a0Prem. 2020. What are the biggest threats to wildlife and why?https:\/\/www.worldanimalprotection.org.in\/latest\/blogs\/what-are-biggest-threats-wildlife-and-why"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Du Tran Heng Wang Lorenzo Torresani Jamie Ray Yann LeCun and Manohar Paluri. 2018. A Closer Look at Spatiotemporal Convolutions for Action Recognition. arxiv:1711.11248https:\/\/arxiv.org\/abs\/1711.11248","DOI":"10.1109\/CVPR.2018.00675"},{"key":"e_1_3_2_1_30_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan\u00a0N. Gomez Lukasz Kaiser and Illia Polosukhin. 2023. Attention Is All You Need. arxiv:1706.03762https:\/\/arxiv.org\/abs\/1706.03762"},{"key":"e_1_3_2_1_31_1","unstructured":"Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng Yang Zhao Dong Liu Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu and Bin Xiao. 2020. Deep High-Resolution Representation Learning for Visual Recognition. arxiv:1908.07919https:\/\/arxiv.org\/abs\/1908.07919"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2964328"},{"key":"e_1_3_2_1_33_1","unstructured":"Saining Xie Chen Sun Jonathan Huang Zhuowen Tu and Kevin Murphy. 2018. Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. arxiv:1712.04851https:\/\/arxiv.org\/abs\/1712.04851"}],"event":{"name":"GoodIT '24: International Conference on Information Technology for Social Good","sponsor":["SIGCAS ACM Special Interest Group on Computers and Society"],"location":"Bremen Germany","acronym":"GoodIT '24"},"container-title":["Proceedings of the 2024 International Conference on Information Technology for Social Good"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3677525.3678681","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3677525.3678681","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T14:47:41Z","timestamp":1755874061000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3677525.3678681"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,4]]},"references-count":33,"alternative-id":["10.1145\/3677525.3678681","10.1145\/3677525"],"URL":"https:\/\/doi.org\/10.1145\/3677525.3678681","relation":{},"subject":[],"published":{"date-parts":[[2024,9,4]]},"assertion":[{"value":"2024-09-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}