{"id":"https://openalex.org/W4401609774","doi":"https://doi.org/10.1007/s41095-024-0424-2","title":"SAM-driven MAE pre-training and background-aware meta-learning for unsupervised vehicle re-identification","display_name":"SAM-driven MAE pre-training and background-aware meta-learning for unsupervised vehicle re-identification","publication_year":2024,"publication_date":"2024-08-01","ids":{"openalex":"https://openalex.org/W4401609774","doi":"https://doi.org/10.1007/s41095-024-0424-2"},"language":"en","primary_location":{"id":"doi:10.1007/s41095-024-0424-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-024-0424-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-024-0424-2.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["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":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41095-024-0424-2.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100391415","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0001-6853-8278"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["School of Software, Nanchang University, Nanchang 330047, China","School of Software, Nanchang University, Nanchang, 330047, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Nanchang University, Nanchang 330047, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"School of Software, Nanchang University, Nanchang, 330047, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101692199","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0003-0445-5603"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["School of Mathematics and Computer Science, Nanchang University, Nanchang 330031, China; Institute of Metaverse, Nanchang University, Nanchang 330031, China; Jiangxi Key Laboratory of Smart City, Nanchang 330031, China","School of Mathematics and Computer Science, Nanchang University, Nanchang, 330031, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Nanchang University, Nanchang 330031, China; Institute of Metaverse, Nanchang University, Nanchang 330031, China; Jiangxi Key Laboratory of Smart City, Nanchang 330031, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"School of Mathematics and Computer Science, Nanchang University, Nanchang, 330031, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046155722","display_name":"Weidong Min","orcid":"https://orcid.org/0000-0003-2526-2181"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weidong Min","raw_affiliation_strings":["School of Mathematics and Computer Science, Nanchang University, Nanchang 330031, China; Institute of Metaverse, Nanchang University, Nanchang 330031, China; Jiangxi Key Laboratory of Smart City, Nanchang 330031, China","School of Mathematics and Computer Science, Nanchang University, Nanchang, 330031, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Nanchang University, Nanchang 330031, China; Institute of Metaverse, Nanchang University, Nanchang 330031, China; Jiangxi Key Laboratory of Smart City, Nanchang 330031, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"School of Mathematics and Computer Science, Nanchang University, Nanchang, 330031, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063023203","display_name":"Di Gai","orcid":"https://orcid.org/0000-0002-1771-4363"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Gai","raw_affiliation_strings":["School of Mathematics and Computer Science, Nanchang University, Nanchang 330031, China; Institute of Metaverse, Nanchang University, Nanchang 330031, China; Jiangxi Key Laboratory of Smart City, Nanchang 330031, China","School of Mathematics and Computer Science, Nanchang University, Nanchang, 330031, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Nanchang University, Nanchang 330031, China; Institute of Metaverse, Nanchang University, Nanchang 330031, China; Jiangxi Key Laboratory of Smart City, Nanchang 330031, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"School of Mathematics and Computer Science, Nanchang University, Nanchang, 330031, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101405692","display_name":"Han Qing","orcid":"https://orcid.org/0000-0002-3178-0914"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Han","raw_affiliation_strings":["School of Mathematics and Computer Science, Nanchang University, Nanchang 330031, China; Institute of Metaverse, Nanchang University, Nanchang 330031, China; Jiangxi Key Laboratory of Smart City, Nanchang 330031, China","School of Mathematics and Computer Science, Nanchang University, Nanchang, 330031, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Nanchang University, Nanchang 330031, China; Institute of Metaverse, Nanchang University, Nanchang 330031, China; Jiangxi Key Laboratory of Smart City, Nanchang 330031, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"School of Mathematics and Computer Science, Nanchang University, Nanchang, 330031, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430936","display_name":"Longfei Li","orcid":"https://orcid.org/0000-0002-9263-7011"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longfei Li","raw_affiliation_strings":["School of Mathematics and Computer Science, Nanchang University, Nanchang 330031, China","School of Mathematics and Computer Science, Nanchang University, Nanchang, 330031, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Nanchang University, Nanchang 330031, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"School of Mathematics and Computer Science, Nanchang University, Nanchang, 330031, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108948010","display_name":"Yuhan Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhan Geng","raw_affiliation_strings":["School of Public Health, University of Michigan, Ann Arbor 48109, USA","School of Public Health, University of Michigan, Ann Arbor, 48109, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Health, University of Michigan, Ann Arbor 48109, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"School of Public Health, University of Michigan, Ann Arbor, 48109, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046155722"],"corresponding_institution_ids":["https://openalex.org/I141649914"],"apc_list":null,"apc_paid":null,"fwci":0.6131,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67351854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"10","issue":"4","first_page":"771","last_page":"789"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9933000206947327,"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/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7223508954048157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.590161144733429},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4979226589202881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4467617869377136},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.41232842206954956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3551862835884094},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07728171348571777}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7223508954048157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.590161144733429},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4979226589202881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4467617869377136},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.41232842206954956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3551862835884094},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07728171348571777},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s41095-024-0424-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-024-0424-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-024-0424-2.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["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":"Computational Visual Media","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s41095-024-0424-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-024-0424-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-024-0424-2.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["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":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1191276245","display_name":null,"funder_award_id":"62076117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4486925438","display_name":null,"funder_award_id":"62166026","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401609774.pdf","grobid_xml":"https://content.openalex.org/works/W4401609774.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W774034202","https://openalex.org/W1583837637","https://openalex.org/W2526529994","https://openalex.org/W2531563875","https://openalex.org/W2904427185","https://openalex.org/W2919317477","https://openalex.org/W2954626788","https://openalex.org/W2961917444","https://openalex.org/W2997351135","https://openalex.org/W2997987796","https://openalex.org/W2998310459","https://openalex.org/W3015031299","https://openalex.org/W3097045573","https://openalex.org/W3106772544","https://openalex.org/W3109976024","https://openalex.org/W3111255625","https://openalex.org/W3124998866","https://openalex.org/W3135367836","https://openalex.org/W3145013517","https://openalex.org/W3150864706","https://openalex.org/W3170615377","https://openalex.org/W3194199634","https://openalex.org/W4200616063","https://openalex.org/W4205914576","https://openalex.org/W4220906215","https://openalex.org/W4285154747","https://openalex.org/W4310641545","https://openalex.org/W4312307020","https://openalex.org/W4312359313","https://openalex.org/W4312926916","https://openalex.org/W4313555338","https://openalex.org/W4319999978","https://openalex.org/W4362496215","https://openalex.org/W4362597614","https://openalex.org/W4365799809","https://openalex.org/W4390873795","https://openalex.org/W4390874575","https://openalex.org/W6600214982"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Distinguishing":[0],"identity-unrelated":[1],"background":[2,23,61,129,137,183,191,206],"information":[3,7],"from":[4,19,102],"discriminative":[5],"identity":[6,59,100],"poses":[8],"a":[9,66,126,168,174],"challenge":[10],"in":[11,41,110,121,167,185,204],"unsupervised":[12,79],"vehicle":[13,50,58,80,99,122,128,155],"re-identification":[14],"(Re-ID).":[15],"Re-ID":[16,51,123],"models":[17,52],"suffer":[18],"varying":[20,180],"degrees":[21,181],"of":[22,47,57,85,92,182],"interference":[24,184,207],"caused":[25],"by":[26,188],"continuous":[27],"scene":[28],"variations.":[29,208],"The":[30,45,82],"recently":[31],"proposed":[32,199],"segment":[33],"anything":[34],"model":[35],"(SAM)":[36],"has":[37,201],"demonstrated":[38],"exceptional":[39,111],"performance":[40,203],"zero-shot":[42],"segmentation":[43,90,130,138,147],"tasks.":[44],"combination":[46],"SAM":[48,93,105],"and":[49,60,75,156],"can":[53],"achieve":[54],"efficient":[55],"separation":[56],"information.":[62],"This":[63],"paper":[64],"proposes":[65],"method":[67,83,131,177,200],"that":[68,197],"combines":[69],"SAM-driven":[70,141],"mask":[71,158],"autoencoder":[72],"(MAE)":[73],"pre-training":[74,143],"background-aware":[76,175],"meta-learning":[77,176],"for":[78],"Re-ID.":[81],"consists":[84],"three":[86],"sub-modules.":[87],"First,":[88],"the":[89,98,103,145,154,198],"capacity":[91],"is":[94,132],"utilized":[95],"to":[96,134,149,153,157,163,178],"separate":[97],"region":[101,192],"background.":[104],"cannot":[106],"be":[107],"robustly":[108],"employed":[109],"situations,":[112],"such":[113],"as":[114],"those":[115],"with":[116],"ambiguity":[117],"or":[118],"occlusion.":[119],"Thus,":[120],"downstream":[124],"tasks,":[125],"spatially-constrained":[127],"presented":[133],"obtain":[135],"accurate":[136],"results.":[139],"Second,":[140],"MAE":[142,162],"utilizes":[144],"aforementioned":[146],"results":[148],"select":[150],"patches":[151],"belonging":[152],"other":[159],"patches,":[160],"allowing":[161],"learn":[164],"identity-sensitive":[165],"features":[166],"self-supervised":[169],"manner.":[170],"Finally,":[171],"we":[172],"present":[173],"fit":[179],"different":[186,190],"scenarios":[187],"combining":[189],"ratios.":[193],"Our":[194],"experiments":[195],"demonstrate":[196],"state-of-the-art":[202],"reducing":[205]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
