{"id":"https://openalex.org/W4406924875","doi":"https://doi.org/10.1007/s11063-025-11727-z","title":"Few-Shot Object Detection Based on Global Domain Adaptation Strategy","display_name":"Few-Shot Object Detection Based on Global Domain Adaptation Strategy","publication_year":2025,"publication_date":"2025-01-29","ids":{"openalex":"https://openalex.org/W4406924875","doi":"https://doi.org/10.1007/s11063-025-11727-z"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-025-11727-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-025-11727-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11727-z.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11727-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009284427","display_name":"Xiaolin Gong","orcid":"https://orcid.org/0000-0003-4486-4380"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolin Gong","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin, 300072, China","Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin University, Tianjin, 300072, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, 300072, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin University, Tianjin, 300072, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061005420","display_name":"Youpeng Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youpeng Cai","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin, 300072, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, 300072, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773356","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0003-1748-6409"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101424059","display_name":"Daqing Liu","orcid":"https://orcid.org/0000-0002-8286-0105"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daqing Liu","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin, 300072, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, 300072, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008563672","display_name":"Yongtao Ma","orcid":"https://orcid.org/0000-0001-6240-5749"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongtao Ma","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin, 300072, China","Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin University, Tianjin, 300072, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, 300072, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin University, Tianjin, 300072, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009284427"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00980303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"57","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9990000128746033,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9919999837875366,"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/computational-intelligence","display_name":"Computational intelligence","score":0.7369365096092224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5804786086082458},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5120494961738586},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5019106864929199},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4898190200328827},{"id":"https://openalex.org/keywords/complex-system","display_name":"Complex system","score":0.4572233557701111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4516751170158386},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3479883670806885},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19473186135292053},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14523500204086304},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09054988622665405}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.7369365096092224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5804786086082458},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5120494961738586},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5019106864929199},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4898190200328827},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.4572233557701111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4516751170158386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3479883670806885},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19473186135292053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14523500204086304},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09054988622665405},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-025-11727-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-025-11727-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11727-z.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-025-11727-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-025-11727-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11727-z.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4194377310","display_name":null,"funder_award_id":"61771334","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406924875.pdf","grobid_xml":"https://content.openalex.org/works/W4406924875.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2724492314","https://openalex.org/W2788210750","https://openalex.org/W2807850356","https://openalex.org/W2962837320","https://openalex.org/W2963037989","https://openalex.org/W2964361415","https://openalex.org/W2981699788","https://openalex.org/W2985894713","https://openalex.org/W3009213340","https://openalex.org/W3014339560","https://openalex.org/W3099554308","https://openalex.org/W3141012605","https://openalex.org/W3169708801","https://openalex.org/W3174551531","https://openalex.org/W3175577495","https://openalex.org/W3180725527","https://openalex.org/W3193243870","https://openalex.org/W3203464207","https://openalex.org/W3209256213","https://openalex.org/W4205538465","https://openalex.org/W4205763076","https://openalex.org/W4214724741","https://openalex.org/W4220825257","https://openalex.org/W4226266713"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W1526712007","https://openalex.org/W1533421371","https://openalex.org/W2003050223","https://openalex.org/W2091777911","https://openalex.org/W2766405861","https://openalex.org/W2360975119","https://openalex.org/W2912421143"],"abstract_inverted_index":{"Abstract":[0],"Aiming":[1],"to":[2,25,31,37,53,69,81,94,118],"detect":[3],"novel":[4,44],"objects":[5,45],"from":[6],"only":[7],"a":[8,51,75,88],"few":[9],"annotated":[10],"samples,":[11],"few-shot":[12],"object":[13],"detection":[14],"(FSOD)":[15],"has":[16],"undergone":[17],"remarkable":[18],"development.":[19],"Previous":[20],"works":[21],"rarely":[22],"pay":[23],"attention":[24],"the":[26,71,83,111],"perspective":[27],"of":[28,41,73,85],"gradient":[29,47],"propagation":[30],"optimize":[32],"existing":[33],"methods,":[34],"therefore":[35],"failing":[36],"make":[38],"full":[39],"use":[40],"information":[42],"for":[43],"in":[46,125],"propagation.":[48],"We":[49],"propose":[50],"method":[52],"solve":[54],"this":[55],"problem":[56],"based":[57],"on":[58,99],"two-stage":[59],"fine-tuning.":[60],"A":[61],"domain":[62],"adaptation":[63],"module":[64],"with":[65,114],"multi-constraints":[66],"is":[67,79,92],"used":[68,80],"promote":[70],"spread":[72],"gradients,":[74],"classification":[76],"promotion":[77],"network":[78],"improve":[82],"effect":[84],"classification,":[86],"and":[87,102],"multi-path":[89],"mask":[90],"head":[91],"added":[93],"enrich":[95],"RoI":[96],"features.":[97],"Experiments":[98],"PASCAL":[100],"VOC":[101],"COCO":[103],"datasets":[104],"show":[105],"that":[106],"our":[107],"model":[108],"significantly":[109],"raises":[110],"performance":[112],"compared":[113],"previous":[115],"methods":[116],"(up":[117],"1\u20135":[119],"$$\\%$$":[120],"<mml:math":[121],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[122],"<mml:mo>%</mml:mo>":[123],"</mml:math>":[124],"average).":[126]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}