{"id":"https://openalex.org/W4402261232","doi":"https://doi.org/10.1109/igarss53475.2024.10642625","title":"Advancing Controllable Diffusion Model for Few-Shot Object Detection in Optical Remote Sensing Imagery","display_name":"Advancing Controllable Diffusion Model for Few-Shot Object Detection in Optical Remote Sensing Imagery","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402261232","doi":"https://doi.org/10.1109/igarss53475.2024.10642625"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10642625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10642625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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/A5100688517","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0002-1769-9829"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["Beijing Institute of Technology,National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023179941","display_name":"Yin Zhuang","orcid":"https://orcid.org/0000-0002-0443-1081"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Zhuang","raw_affiliation_strings":["Beijing Institute of Technology,National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381552","display_name":"Xinyi Zhang","orcid":"https://orcid.org/0000-0002-6739-3676"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Zhang","raw_affiliation_strings":["Beijing Institute of Technology,National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059679943","display_name":"Guanqun Wang","orcid":"https://orcid.org/0000-0002-7850-8766"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanqun Wang","raw_affiliation_strings":["Peking University,Beijing,China,100871"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,Beijing,China,100871","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327685","display_name":"He Chen","orcid":"https://orcid.org/0000-0003-4182-6493"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Chen","raw_affiliation_strings":["Beijing Institute of Technology,National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022557444","display_name":"Fukun Bi","orcid":"https://orcid.org/0000-0003-3501-9142"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fukun Bi","raw_affiliation_strings":["North China University of Technology,Beijing,China,100144"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China University of Technology,Beijing,China,100144","institution_ids":["https://openalex.org/I1456306"]}]}],"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":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7600","last_page":"7603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9987000226974487,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9840999841690063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6693623065948486},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.6619614958763123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5947914719581604},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.5122867822647095},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4989001750946045},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49442005157470703},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46767956018447876},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43665772676467896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4177917242050171},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.235955148935318},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1818406581878662},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.17234155535697937},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1350710093975067},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10753265023231506}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6693623065948486},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.6619614958763123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5947914719581604},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.5122867822647095},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4989001750946045},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49442005157470703},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46767956018447876},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43665772676467896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4177917242050171},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.235955148935318},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1818406581878662},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.17234155535697937},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1350710093975067},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10753265023231506},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10642625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10642625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2024106504","https://openalex.org/W2983156430","https://openalex.org/W2992240579","https://openalex.org/W3009213340","https://openalex.org/W3174017448","https://openalex.org/W3194193742","https://openalex.org/W4214724741","https://openalex.org/W4312408921","https://openalex.org/W4312905711","https://openalex.org/W4312933868","https://openalex.org/W4390873054","https://openalex.org/W6791353385"],"related_works":["https://openalex.org/W3142396426","https://openalex.org/W2471333042","https://openalex.org/W4396643691","https://openalex.org/W4402383816","https://openalex.org/W2955491601","https://openalex.org/W146529714","https://openalex.org/W4402559869","https://openalex.org/W2316500695","https://openalex.org/W2017914143","https://openalex.org/W146242624"],"abstract_inverted_index":{"Few-shot":[0],"object":[1,92],"detection":[2,93],"(FSOD)":[3],"from":[4],"optical":[5],"remote":[6,34,148,170],"sensing":[7,35,149,171],"imagery":[8],"has":[9,50],"to":[10,27,79,139,141],"detect":[11],"rare":[12],"objects":[13],"given":[14],"only":[15],"a":[16,88,101,151],"few":[17,102],"annotated":[18,103],"bounding":[19,106],"boxes.":[20],"The":[21],"limited":[22],"training":[23],"data":[24,30,96,152],"is":[25,55,154],"hard":[26],"represent":[28],"the":[29,38,60,81,114,134,142,158,175],"distribution":[31],"of":[32,40,57,83,147,160],"realistic":[33],"scenes,":[36],"restricting":[37],"performance":[39],"FSOD.":[41],"Recently,":[42],"learning":[43],"conditional":[44],"controls":[45],"for":[46,90,128,156],"text-to-image":[47,125],"diffusion":[48,84,126],"model":[49,85,161],"achieved":[51],"great":[52],"progress,":[53],"which":[54],"capable":[56],"precisely":[58],"generating":[59],"controllable":[61,95],"yet":[62],"imaginational":[63],"images":[64],"by":[65,94],"text":[66,118],"prompt":[67],"and":[68,86,108,117,144,174],"spatially":[69],"localized":[70],"input":[71],"conditions.":[72],"Accordingly,":[73],"in":[74,137],"this":[75],"work,":[76],"we":[77],"aim":[78],"explore":[80],"potential":[82],"propose":[87],"solution":[89],"few-shot":[91],"generation.":[97,131],"Firstly,":[98],"draw":[99],"upon":[100],"objects,":[104,150],"their":[105],"boxes":[107],"categories":[109],"are":[110],"respectively":[111],"used":[112],"as":[113],"spatial":[115],"conditions":[116],"prompts,":[119],"then":[120],"employ":[121],"them":[122],"into":[123],"large":[124],"models":[127],"controlled":[129],"image":[130],"Secondly,":[132],"based":[133],"generated":[135],"images,":[136],"order":[138],"adapt":[140],"scale":[143],"orientation":[145],"variances":[146],"transformation":[153],"devised":[155],"boosting":[157],"robustness":[159],"training.":[162],"Finally,":[163],"some":[164],"experiments":[165],"were":[166],"conducted":[167],"on":[168],"public":[169],"dataset":[172],"DIOR,":[173],"results":[176],"proved":[177],"its":[178],"effectiveness.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}