{"id":"https://openalex.org/W4313180003","doi":"https://doi.org/10.1109/igarss46834.2022.9884721","title":"Diversity Measurement-Based Meta-Learning for Few-Shot Object Detection of Remote Sensing Images","display_name":"Diversity Measurement-Based Meta-Learning for Few-Shot Object Detection of Remote Sensing Images","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4313180003","doi":"https://doi.org/10.1109/igarss46834.2022.9884721"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884721","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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/A5079373096","display_name":"Lefan Wang","orcid":"https://orcid.org/0000-0002-4123-4159"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lefan Wang","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University,Xi&#x0027;an,China,710129"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University,Xi&#x0027;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101557084","display_name":"Shun Zhang","orcid":"https://orcid.org/0000-0003-3380-8957"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shun Zhang","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University,Xi&#x0027;an,China,710129"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University,Xi&#x0027;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012802475","display_name":"Zonghao Han","orcid":"https://orcid.org/0009-0009-9613-6458"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zonghao Han","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University,Xi&#x0027;an,China,710129"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University,Xi&#x0027;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004427885","display_name":"Feng Yan","orcid":"https://orcid.org/0000-0002-8615-139X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Feng","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University,Xi&#x0027;an,China,710129"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University,Xi&#x0027;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100698468","display_name":"Wei Jiang","orcid":"https://orcid.org/0000-0001-8775-9623"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Wei","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University,Xi&#x0027;an,China,710129"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University,Xi&#x0027;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067207818","display_name":"Shaohui Mei","orcid":"https://orcid.org/0000-0002-8018-596X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Mei","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University,Xi&#x0027;an,China,710129"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University,Xi&#x0027;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5079373096"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":2.1569,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92627158,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3087","last_page":"3090"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9984999895095825,"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":0.9984999895095825,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9955000281333923,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.8103247284889221},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7194714546203613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6651692986488342},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5310210585594177},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5280157923698425},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4884285032749176},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4609314799308777},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4379134178161621},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4136122465133667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3966892957687378},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3644483685493469},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3368757963180542},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06571689248085022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8103247284889221},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7194714546203613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6651692986488342},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5310210585594177},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5280157923698425},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4884285032749176},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4609314799308777},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4379134178161621},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4136122465133667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3966892957687378},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3644483685493469},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3368757963180542},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06571689248085022},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884721","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G5521239382","display_name":null,"funder_award_id":"62171381","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2005368619","https://openalex.org/W2577537809","https://openalex.org/W2992240579","https://openalex.org/W2996583130","https://openalex.org/W3106250896","https://openalex.org/W3110528336","https://openalex.org/W3132437036","https://openalex.org/W4293584584","https://openalex.org/W6781167745","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2949096641","https://openalex.org/W4380075502","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W4254103348","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Most":[0],"object":[1,54],"detection":[2,55,108],"methods":[3],"based":[4],"on":[5,85,95],"deep":[6],"learning":[7],"require":[8],"large":[9],"amounts":[10],"of":[11,113],"labeled":[12],"data":[13],"and":[14,82],"can":[15],"detect":[16],"only":[17],"the":[18,21,111],"categories":[19],"in":[20,29,110],"training":[22,45],"set.":[23],"Such":[24],"issues":[25],"significantly":[26],"limit":[27],"applications":[28],"remote":[30,65,114],"sensing":[31,66],"scenarios":[32],"where":[33],"it":[34],"usually":[35],"needs":[36],"to":[37,75,90],"recognize":[38],"novel,":[39],"unseen":[40],"objects":[41],"given":[42],"very":[43],"few":[44],"examples.":[46],"To":[47],"address":[48],"these":[49],"limitations,":[50],"a":[51,69],"novel":[52],"meta-learning-based":[53],"method":[56,100],"using":[57],"Faster":[58],"R-CNN":[59],"framework":[60],"is":[61,73],"proposed":[62,74],"for":[63],"optical":[64],"image.":[67],"Specifically,":[68],"diversity":[70,77],"measurement":[71],"module":[72],"measure":[76],"information":[78],"between":[79],"support":[80],"images":[81,84],"query":[83],"base":[86],"classes":[87],"so":[88],"as":[89],"acquire":[91],"more":[92],"meta-knowledge.":[93],"Experiments":[94],"DIOR":[96],"dataset":[97],"demonstrate":[98],"our":[99],"has":[101],"achieved":[102],"superior":[103],"performance":[104],"than":[105],"state-of-the-art":[106],"meta-learning":[107],"models":[109],"field":[112],"sensing.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
