{"id":"https://openalex.org/W4387803041","doi":"https://doi.org/10.1109/igarss52108.2023.10282252","title":"Dense Contrastive Learning Based Object Detection for Remote Sensing Images","display_name":"Dense Contrastive Learning Based Object Detection for Remote Sensing Images","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387803041","doi":"https://doi.org/10.1109/igarss52108.2023.10282252"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 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/A5114833209","display_name":"Shuo Liu","orcid":"https://orcid.org/0009-0007-6385-7086"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuo Liu","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002694599","display_name":"Huanxin Zou","orcid":"https://orcid.org/0000-0002-6182-4877"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanxin Zou","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101467692","display_name":"Meilin Li","orcid":"https://orcid.org/0009-0005-9696-6524"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meilin Li","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430970","display_name":"Xu Cao","orcid":"https://orcid.org/0000-0001-8739-5196"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Cao","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081188725","display_name":"Shitian He","orcid":"https://orcid.org/0000-0001-9696-8865"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shitian He","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101582329","display_name":"Juan Wei","orcid":"https://orcid.org/0000-0002-7375-6031"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Wei","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074833901","display_name":"Li Sun","orcid":"https://orcid.org/0000-0002-7451-5459"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Sun","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100401887","display_name":"Yuqing Zhang","orcid":"https://orcid.org/0000-0001-8773-803X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqing Zhang","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5114833209"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.1623,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52174885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"6458","last_page":"6461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.991599977016449,"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/computer-science","display_name":"Computer science","score":0.8230866193771362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7118195295333862},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5772014260292053},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.539929986000061},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5254788994789124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49174001812934875},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4890974164009094},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4750494956970215},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4556681215763092},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4452459216117859},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39517199993133545},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3661755323410034},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16992419958114624},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08133882284164429},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07146650552749634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8230866193771362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7118195295333862},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5772014260292053},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.539929986000061},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5254788994789124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49174001812934875},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4890974164009094},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4750494956970215},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4556681215763092},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4452459216117859},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39517199993133545},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3661755323410034},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16992419958114624},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08133882284164429},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07146650552749634},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical 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/igarss52108.2023.10282252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":19,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W2005368619","https://openalex.org/W2321533354","https://openalex.org/W2326925005","https://openalex.org/W2798991696","https://openalex.org/W2842511635","https://openalex.org/W3005680577","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3108262825","https://openalex.org/W3128661784","https://openalex.org/W3138516171","https://openalex.org/W3168822201","https://openalex.org/W4283697304","https://openalex.org/W4297808394","https://openalex.org/W4313156423","https://openalex.org/W6774314701","https://openalex.org/W6779326418","https://openalex.org/W6785786191"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2795393339","https://openalex.org/W2626393719","https://openalex.org/W4390618967","https://openalex.org/W2074467390","https://openalex.org/W2174745845","https://openalex.org/W2063058012"],"abstract_inverted_index":{"Supervised":[0],"learning":[1,16,49],"based":[2],"object":[3,55],"detectors":[4],"suffer":[5],"from":[6],"the":[7,23,26,34,38,98,102,107,113],"high":[8],"cost":[9],"and":[10,33,77,85,124],"difficulty":[11],"of":[12,54,71],"labeling":[13],"datasets.":[14],"Self-supervised":[15],"methods":[17],"require":[18],"no":[19],"manual":[20],"annotations.":[21],"However,":[22],"misalignment":[24],"between":[25],"pretext":[27],"task":[28,36],"designed":[29],"for":[30],"image":[31],"classification":[32],"downstream":[35],"affects":[37],"detection":[39,56],"performance.":[40],"Therefore,":[41],"this":[42],"paper":[43],"proposes":[44],"a":[45,91],"self-supervised":[46],"dense":[47,86],"contrastive":[48],"method":[50,115],"to":[51,68,96],"improve":[52],"performance":[53],"in":[57,101],"remote":[58],"sensing":[59],"images.":[60],"Specifically,":[61],"first,":[62],"Swin":[63],"Transformer":[64],"substitutes":[65],"popular":[66],"CNN":[67],"extract":[69],"features":[70,79],"augmented":[72],"multiple":[73],"views.":[74],"Second,":[75],"global":[76,84],"local":[78],"are":[80],"extracted":[81],"using":[82],"parallel":[83],"projector":[87],"heads,":[88],"respectively.":[89],"Third,":[90],"predictor":[92],"head":[93],"is":[94],"added":[95],"increase":[97],"nonlinear":[99],"transformations":[100],"network.":[103],"Extensive":[104],"experiments":[105],"on":[106],"NWPU":[108],"VHR-10":[109],"dataset":[110],"show":[111],"that":[112],"proposed":[114],"outperforms":[116],"two":[117],"representative":[118],"strong":[119],"baseline":[120],"methods,":[121],"including":[122],"MoCoV2":[123],"DenseCL.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}