{"id":"https://openalex.org/W4385763778","doi":"https://doi.org/10.1145/3599589.3599593","title":"MFC-Net: A Multiple Feature Complementation Network for Person Re-identification in Aerial Imagery","display_name":"MFC-Net: A Multiple Feature Complementation Network for Person Re-identification in Aerial Imagery","publication_year":2023,"publication_date":"2023-04-21","ids":{"openalex":"https://openalex.org/W4385763778","doi":"https://doi.org/10.1145/3599589.3599593"},"language":"en","primary_location":{"id":"doi:10.1145/3599589.3599593","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3599589.3599593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Multimedia and Image Processing","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/A5070471595","display_name":"Zichen Yin","orcid":"https://orcid.org/0009-0002-8685-4404"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zichen Yin","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101948859","display_name":"Dongmei Liu","orcid":"https://orcid.org/0000-0002-8061-1797"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Liu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070471595"],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":null,"apc_paid":null,"fwci":0.2456,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51723727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9980000257492065,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9968000054359436,"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/discriminative-model","display_name":"Discriminative model","score":0.8009763956069946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7327722311019897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.722200870513916},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6705579161643982},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6639077067375183},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5798121690750122},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5778859853744507},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5180766582489014},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47086989879608154},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4536932110786438},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.4328692853450775},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.42489778995513916},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3475208878517151}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8009763956069946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7327722311019897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.722200870513916},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6705579161643982},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6639077067375183},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5798121690750122},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5778859853744507},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5180766582489014},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47086989879608154},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4536932110786438},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.4328692853450775},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.42489778995513916},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3475208878517151},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1145/3599589.3599593","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3599589.3599593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Multimedia and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2585635281","https://openalex.org/W2798355657","https://openalex.org/W2931208564","https://openalex.org/W2962749812","https://openalex.org/W2963842104","https://openalex.org/W2964044605","https://openalex.org/W2964130064","https://openalex.org/W2964146055","https://openalex.org/W2964304299","https://openalex.org/W2967515867","https://openalex.org/W2968374502","https://openalex.org/W2984145721","https://openalex.org/W2998792609","https://openalex.org/W3080902013","https://openalex.org/W3100260313","https://openalex.org/W3125736290","https://openalex.org/W3173635859","https://openalex.org/W6600020652","https://openalex.org/W6600310816","https://openalex.org/W6600710366","https://openalex.org/W6601065604","https://openalex.org/W6601630192","https://openalex.org/W6604344240"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W3128220219"],"abstract_inverted_index":{"Person":[0],"re-identification":[1,40,135],"on":[2,15],"Unmanned":[3],"Aerial":[4],"Vehicles":[5],"(UAVs)":[6],"platforms":[7],"has":[8],"received":[9],"widespread":[10],"attention,":[11],"but":[12],"visual":[13],"monitoring":[14],"UAVs":[16],"is":[17],"affected":[18],"by":[19],"pixels,":[20],"angles,":[21],"and":[22,34,67,84,96,116,118],"more":[23],"misalignment,":[24],"which":[25,109],"impairs":[26],"the":[27,31,46,61,68,99,112,120,133],"discriminative":[28],"ability":[29],"of":[30,58,77,114,122,136],"learning":[32],"representation":[33],"brings":[35],"new":[36],"challenges":[37],"to":[38,44],"person":[39,123,134],"tasks.":[41],"In":[42],"order":[43],"solve":[45],"problem,":[47],"we":[48],"propose":[49],"a":[50],"Multiple":[51],"Feature":[52,70],"Complementation":[53],"Network":[54],"(MFC-Net).":[55],"MFC-Net":[56,129],"consists":[57,76],"two":[59,78,105],"modules,":[60],"Parallel":[62],"Dual":[63],"Attention":[64,82,87],"Modules":[65],"(PDAM)":[66],"Multilayer":[69],"Fusion":[71],"Module":[72],"(MFFM).":[73],"The":[74,89,101],"PDAM":[75,90],"attention":[79,107],"branches\u2014Multiscale":[80],"Channel":[81],"(MCA)":[83],"Weighted":[85],"Positional":[86],"(WPA).":[88],"can":[91],"effectively":[92,110],"perceive":[93],"regional":[94],"features":[95],"better":[97],"focus":[98],"image.":[100],"MFFM":[102],"further":[103],"fuses":[104],"complementary":[106],"features,":[108],"solves":[111],"problems":[113],"angle":[115],"misalignment":[117],"improves":[119],"accuracy":[121],"re-identification.":[124],"Compared":[125],"with":[126],"existing":[127],"techniques,":[128],"performs":[130],"well":[131],"in":[132],"aerial":[137],"imagery.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
