{"id":"https://openalex.org/W4392944349","doi":"https://doi.org/10.1109/iceic61013.2024.10457124","title":"Enhancing Defense Surveillance: Few-Shot Object Detection with Synthetically Generated Military Data","display_name":"Enhancing Defense Surveillance: Few-Shot Object Detection with Synthetically Generated Military Data","publication_year":2024,"publication_date":"2024-01-28","ids":{"openalex":"https://openalex.org/W4392944349","doi":"https://doi.org/10.1109/iceic61013.2024.10457124"},"language":"en","primary_location":{"id":"doi:10.1109/iceic61013.2024.10457124","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iceic61013.2024.10457124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101634735","display_name":"Chanyeong Park","orcid":"https://orcid.org/0009-0008-3537-1959"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chanyeong Park","raw_affiliation_strings":["Chung-Ang University,Department of Image,Seoul,Republic of Korea","Department of Image, Chung-Ang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung-Ang University,Department of Image,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Department of Image, Chung-Ang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061455842","display_name":"Seongjun Lee","orcid":"https://orcid.org/0000-0001-6112-3942"},"institutions":[{"id":"https://openalex.org/I2799667316","display_name":"Republic of Korea Army","ror":"https://ror.org/0331rkj73","country_code":"KR","type":"government","lineage":["https://openalex.org/I2799667316"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seongjun Lee","raw_affiliation_strings":["Republic of Korea Army,Seoul,Republic of Korea","Republic of Korea Army, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Republic of Korea Army,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I2799667316"]},{"raw_affiliation_string":"Republic of Korea Army, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I2799667316"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102632186","display_name":"Hankyul Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I2799667316","display_name":"Republic of Korea Army","ror":"https://ror.org/0331rkj73","country_code":"KR","type":"government","lineage":["https://openalex.org/I2799667316"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hankyul Choi","raw_affiliation_strings":["Republic of Korea Army,Incheon,Republic of Korea","Republic of Korea Army, Incheon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Republic of Korea Army,Incheon,Republic of Korea","institution_ids":["https://openalex.org/I2799667316"]},{"raw_affiliation_string":"Republic of Korea Army, Incheon, Republic of Korea","institution_ids":["https://openalex.org/I2799667316"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454693","display_name":"Donghyun Kim","orcid":"https://orcid.org/0000-0003-1960-0527"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Donghyun Kim","raw_affiliation_strings":["Republic of Korea Marine Corp,Gyeonggi-Do,Republic of Korea","Republic of Korea Marine Corp, Gyeonggi-Do, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Republic of Korea Marine Corp,Gyeonggi-Do,Republic of Korea","institution_ids":[]},{"raw_affiliation_string":"Republic of Korea Marine Corp, Gyeonggi-Do, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063845842","display_name":"Yunyoung Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I59502557","display_name":"Korea Air Force Academy","ror":"https://ror.org/03zjevq63","country_code":"KR","type":"government","lineage":["https://openalex.org/I59502557"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yunyoung Jeong","raw_affiliation_strings":["Republic of Korea Air Force,Gyeonggi-Do,Republic of Korea","Republic of Korea Air Force, Gyeonggi-Do, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Republic of Korea Air Force,Gyeonggi-Do,Republic of Korea","institution_ids":["https://openalex.org/I59502557"]},{"raw_affiliation_string":"Republic of Korea Air Force, Gyeonggi-Do, Republic of Korea","institution_ids":["https://openalex.org/I59502557"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013926864","display_name":"Joonki Paik","orcid":"https://orcid.org/0000-0002-8593-7155"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joonki Paik","raw_affiliation_strings":["Chung-Ang University,Department of Image,Seoul,Republic of Korea","Department of Artificial Intelligence, Chung-Ang University, Seoul, Republic of Korea","Department of Image, Chung-Ang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung-Ang University,Department of Image,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Chung-Ang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Department of Image, Chung-Ang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9397000074386597,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11949","display_name":"Nuclear Physics and Applications","score":0.9079999923706055,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7230312824249268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6380357146263123},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5330122113227844},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4873288571834564},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46569833159446716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34968364238739014},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.21007737517356873}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7230312824249268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6380357146263123},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5330122113227844},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4873288571834564},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46569833159446716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34968364238739014},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.21007737517356873},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic61013.2024.10457124","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iceic61013.2024.10457124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2193145675","https://openalex.org/W3106250896","https://openalex.org/W4312933868","https://openalex.org/W4386076215"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2975200075","https://openalex.org/W4312842780","https://openalex.org/W2883677709","https://openalex.org/W2922421953","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Acquiring":[0],"military-related":[1],"data":[2,75],"to":[3,16,67,83],"train":[4,84],"object":[5,27,44,87],"detection":[6,28,45,88],"algorithms":[7],"for":[8,52,56],"defense":[9],"surveillance":[10],"can":[11,31],"be":[12],"highly":[13],"challenging":[14],"due":[15],"security":[17],"restrictions.":[18],"To":[19,54],"overcome":[20],"this":[21],"challenge,":[22],"we":[23,63],"utilize":[24],"a":[25,35,80,95],"few-shot":[26,86],"approach":[29],"that":[30,47,98],"identify":[32],"objects":[33],"using":[34,94],"limited":[36,58],"number":[37],"of":[38,60],"examples,":[39],"deviating":[40],"from":[41],"the":[42,57,85],"standard":[43],"methods":[46],"typically":[48],"require":[49],"large":[50],"datasets":[51],"training.":[53],"compensate":[55],"availability":[59],"military":[61,70],"data,":[62],"employ":[64],"generative":[65],"models":[66],"create":[68],"synthetic":[69],"datasets.":[71],"This":[72],"artificially":[73],"generated":[74],"is":[76],"then":[77],"used":[78],"as":[79],"support":[81],"set":[82],"network.":[89],"We":[90],"assess":[91],"our":[92],"method":[93],"self-created":[96],"dataset":[97],"includes":[99],"four":[100],"categories:":[101],"soldiers,":[102],"tanks,":[103],"helicopters,":[104],"and":[105],"fighter":[106],"planes.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
