{"id":"https://openalex.org/W2991049670","doi":"https://doi.org/10.1109/avss.2019.8909842","title":"Multiple Instance Learning for CNN Based Fire Detection and Localization","display_name":"Multiple Instance Learning for CNN Based Fire Detection and Localization","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2991049670","doi":"https://doi.org/10.1109/avss.2019.8909842","mag":"2991049670"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2019.8909842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063896394","display_name":"Metin Akta\u015f","orcid":"https://orcid.org/0000-0003-1352-3372"},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Metin Aktas","raw_affiliation_strings":["ASELSAN, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"ASELSAN, Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075479834","display_name":"Ali Bayramcavus","orcid":null},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ali Bayramcavus","raw_affiliation_strings":["ASELSAN, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"ASELSAN, Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044627947","display_name":"Toygar Akg\u00fcn","orcid":"https://orcid.org/0000-0001-9674-938X"},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Toygar Akgun","raw_affiliation_strings":["ASELSAN, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"ASELSAN, Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063896394"],"corresponding_institution_ids":["https://openalex.org/I56303344"],"apc_list":null,"apc_paid":null,"fwci":1.3034,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80070244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11317","display_name":"Fire dynamics and safety research","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8328883647918701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8273780345916748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6904302835464478},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.636278510093689},{"id":"https://openalex.org/keywords/fire-detection","display_name":"Fire detection","score":0.6076615452766418},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4414232671260834},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43346360325813293},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4168045222759247},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.41078653931617737},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3594372868537903},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06129831075668335}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8328883647918701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8273780345916748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6904302835464478},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.636278510093689},{"id":"https://openalex.org/C2780836893","wikidata":"https://www.wikidata.org/wiki/Q19922674","display_name":"Fire detection","level":2,"score":0.6076615452766418},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4414232671260834},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43346360325813293},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4168045222759247},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.41078653931617737},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3594372868537903},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06129831075668335},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2019.8909842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4099999964237213,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1843259916","https://openalex.org/W1984282654","https://openalex.org/W1996037078","https://openalex.org/W1996199746","https://openalex.org/W2059704224","https://openalex.org/W2063220875","https://openalex.org/W2063975513","https://openalex.org/W2072458323","https://openalex.org/W2078579128","https://openalex.org/W2084391620","https://openalex.org/W2102852361","https://openalex.org/W2105854624","https://openalex.org/W2108745803","https://openalex.org/W2110119381","https://openalex.org/W2115240329","https://openalex.org/W2116674123","https://openalex.org/W2126969789","https://openalex.org/W2146926380","https://openalex.org/W2156734067","https://openalex.org/W2163605009","https://openalex.org/W2315502046","https://openalex.org/W2571300184","https://openalex.org/W2736486815","https://openalex.org/W2746174042","https://openalex.org/W2780222614","https://openalex.org/W2793947836","https://openalex.org/W2807862495","https://openalex.org/W2834632380","https://openalex.org/W2919115771","https://openalex.org/W2962697884","https://openalex.org/W2963795951","https://openalex.org/W3213275587","https://openalex.org/W4233493325","https://openalex.org/W4393600677","https://openalex.org/W6666605149","https://openalex.org/W6669992580","https://openalex.org/W6676245398","https://openalex.org/W6677492792","https://openalex.org/W6684191040","https://openalex.org/W6753317962"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Motivated":[0],"by":[1,6,44,107],"the":[2,23,33,52,78,91,111,121,127],"state-of-the-art":[3],"performance":[4,133],"achieved":[5],"convolutional":[7],"neural":[8],"networks":[9],"(CNN)":[10],"in":[11,41,61,83],"visual":[12,24],"detection":[13,26,40,132],"and":[14,93],"classification":[15],"tasks,":[16],"CNNs":[17],"have":[18],"recently":[19],"been":[20],"applied":[21],"to":[22,38],"fire":[25,39,59,81,104,114,131],"problem.":[27],"In":[28],"this":[29],"work,":[30],"we":[31],"extend":[32],"existing":[34],"CNN":[35,70],"based":[36],"approaches":[37],"video":[42,62,85,117],"sequences":[43,118],"incorporating":[45],"Multiple":[46],"Instance":[47],"Learning":[48],"(MIL).":[49],"MIL":[50],"relaxes":[51],"requirement":[53],"of":[54,58,80,110],"having":[55],"accurate":[56],"locations":[57],"patches":[60],"frames,":[63],"which":[64],"are":[65,87],"needed":[66],"for":[67],"patch":[68,138,143],"level":[69,75,139,144],"training.":[71],"Instead,":[72],"only":[73],"frame":[74,86],"labels":[76],"indicating":[77],"presence":[79],"somewhere":[82],"a":[84,102],"needed,":[88],"substantially":[89],"alleviating":[90],"annotation":[92],"training":[94],"efforts.":[95],"The":[96],"resulting":[97],"approach":[98],"is":[99],"tested":[100],"on":[101],"new":[103],"dataset":[105],"obtained":[106],"extending":[108],"some":[109],"previously":[112],"used":[113],"datasets":[115],"with":[116],"collected":[119],"from":[120],"web.":[122],"Experimental":[123],"results":[124],"show":[125],"that":[126],"proposed":[128],"method":[129],"improves":[130],"upto":[134],"2.5%,":[135],"while":[136],"providing":[137],"localization":[140],"without":[141],"requiring":[142],"annotations.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}