{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T01:04:47Z","timestamp":1775091887283,"version":"3.50.1"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea (NRF) Grant through the Korean Government [Ministry of Science, ICT and Future Planning (MSIP)]","doi-asserted-by":"publisher","award":["2019R1A2B5B01070067"],"award-info":[{"award-number":["2019R1A2B5B01070067"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010418","name":"Institute of Information and Communications Technology Planning and Evaluation (IITP) Grant through the Korean Government","doi-asserted-by":"publisher","award":["2020-0-00062"],"award-info":[{"award-number":["2020-0-00062"]}],"id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tip.2022.3207006","type":"journal-article","created":{"date-parts":[[2022,9,21]],"date-time":"2022-09-21T19:29:24Z","timestamp":1663788564000},"page":"6331-6343","source":"Crossref","is-referenced-by-count":104,"title":["Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark"],"prefix":"10.1109","volume":"31","author":[{"given":"Hikmat","family":"Yar","sequence":"first","affiliation":[{"name":"Department of Software, Sejong University, Seoul, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4861-8347","authenticated-orcid":false,"given":"Tanveer","family":"Hussain","sequence":"additional","affiliation":[{"name":"Department of Software, Sejong University, Seoul, South Korea"}]},{"given":"Mohit","family":"Agarwal","sequence":"additional","affiliation":[{"name":"School of Computer Science Engineering and Technology, Bennett University, Greater Noida, Uttar Pradesh, India"}]},{"given":"Zulfiqar Ahmad","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Software, Sejong University, Seoul, South Korea"}]},{"given":"Suneet Kumar","family":"Gupta","sequence":"additional","affiliation":[{"name":"School of Computer Science Engineering and Technology, Bennett University, Greater Noida, Uttar Pradesh, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6678-7788","authenticated-orcid":false,"given":"Sung Wook","family":"Baik","sequence":"additional","affiliation":[{"name":"Department of Software, Sejong University, Seoul, South Korea"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-65172-9_16"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2897594"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5195508"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnlssr.2020.06.009"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.116114"},{"key":"ref6","volume-title":"Wildfires, Forest Fires Around World in 2020","author":"Bir","year":"2020"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1108\/jfm-11-2020-0082"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2019.03.030"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.trpro.2021.07.162"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/s21144932"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2007.366130"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.06.015"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2016.7793196"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10694-017-0695-6"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2812835"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2004.1421401"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.firesaf.2008.05.005"},{"issue":"3","key":"ref18","first-page":"100","article-title":"Efficient forest fire detection system: A spatial data mining and image processing based approach","volume":"9","author":"Angayarkkani","year":"2009","journal-title":"Int. J. Comput. Sci. Netw. Secur."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SIBGRAPI.2015.19"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2009.10.017"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-017-1102-y"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CISIS.2012.25"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2258353"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.firesaf.2008.07.006"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-011-0369-1"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE.2017.7889305"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451657"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2830099"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.1900257"},{"key":"ref30","first-page":"21","article-title":"Fire detection via effective vision transformers","volume":"17","author":"Yar","year":"2021","journal-title":"J. Korean Inst. Next Gener. Comput."},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3460426.3463665"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/rs13173527"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.04.083"},{"key":"ref34","article-title":"Progressive DNN compression: A key to achieve ultra-high weight pruning and quantization rates using ADMM","author":"Ye","year":"2019","journal-title":"arXiv:1903.09769"},{"key":"ref35","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","author":"Han","year":"2015","journal-title":"arXiv:1510.00149"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00890"},{"key":"ref37","article-title":"Rethinking the smaller-norm-less-informative assumption in channel pruning of convolution layers","author":"Ye","year":"2018","journal-title":"arXiv:1802.00124"},{"key":"ref38","first-page":"3123","article-title":"Binaryconnect: Training deep neural networks with binary weights during propagations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Courbariaux"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"ref40","article-title":"Training wide residual networks for deployment using a single bit for each weight","author":"McDonnell","year":"2018","journal-title":"arXiv:1802.08530"},{"key":"ref41","first-page":"4","article-title":"Improving the speed of neural networks on CPUs","volume-title":"Proc. Deep Learn. Unsupervised Feature Learn. NIPS Workshop","volume":"1","author":"Vanhoucke"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-63315-2_60"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2017.8122904"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CADSM.2017.7916148"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59081-3_36"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3390\/s18030712"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.23919\/ChiCC.2018.8483118"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.249"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2872503"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3050918"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3390\/s21082811"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3016431"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02496-y"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115125"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.3390\/s20195569"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2928540"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3142771"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00510"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2877008"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2392531"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11758-4_52"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ICCRD.2011.5764295"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/JCAI.2009.79"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.04.019"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.04.044"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-03243-7"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9626658\/09898909.pdf?arnumber=9898909","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T20:54:41Z","timestamp":1705956881000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9898909\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":67,"URL":"https:\/\/doi.org\/10.1109\/tip.2022.3207006","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}