{"id":"https://openalex.org/W4310834716","doi":"https://doi.org/10.1109/anzcc56036.2022.9966962","title":"Siamese Multi-Scale Aggregation Network for UAV Tracking","display_name":"Siamese Multi-Scale Aggregation Network for UAV Tracking","publication_year":2022,"publication_date":"2022-11-24","ids":{"openalex":"https://openalex.org/W4310834716","doi":"https://doi.org/10.1109/anzcc56036.2022.9966962"},"language":"en","primary_location":{"id":"doi:10.1109/anzcc56036.2022.9966962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/anzcc56036.2022.9966962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Australian & New Zealand Control Conference (ANZCC)","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/A5109592487","display_name":"Meiyu Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meiyu Yao","raw_affiliation_strings":["Yanshan University,School of Electrical Engineering,Qinhuangdao,China,066004"],"affiliations":[{"raw_affiliation_string":"Yanshan University,School of Electrical Engineering,Qinhuangdao,China,066004","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037218479","display_name":"Na Wu","orcid":"https://orcid.org/0009-0006-1584-9850"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Wu","raw_affiliation_strings":["Yanshan University,School of Electrical Engineering,Qinhuangdao,China,066004"],"affiliations":[{"raw_affiliation_string":"Yanshan University,School of Electrical Engineering,Qinhuangdao,China,066004","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048881400","display_name":"Shuo Hu","orcid":"https://orcid.org/0000-0003-0998-8943"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Hu","raw_affiliation_strings":["Yanshan University,School of Electrical Engineering,Qinhuangdao,China,066004"],"affiliations":[{"raw_affiliation_string":"Yanshan University,School of Electrical Engineering,Qinhuangdao,China,066004","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006580423","display_name":"Hui Yu","orcid":"https://orcid.org/0000-0002-7655-9228"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hui Yu","raw_affiliation_strings":["University of Portsmouth,School of Creative Technologies,Portsmouth,U.K,PO1 2DJ"],"affiliations":[{"raw_affiliation_string":"University of Portsmouth,School of Creative Technologies,Portsmouth,U.K,PO1 2DJ","institution_ids":["https://openalex.org/I63072094"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109592487"],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11325009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"192","last_page":"196"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11133","display_name":"UAV Applications and Optimization","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/robustness","display_name":"Robustness (evolution)","score":0.8624510169029236},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.8578505516052246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7853505611419678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6198272705078125},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5757279992103577},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4868699610233307},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47168758511543274},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45300188660621643},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.19145622849464417},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.14960923790931702}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8624510169029236},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8578505516052246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7853505611419678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6198272705078125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5757279992103577},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4868699610233307},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47168758511543274},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45300188660621643},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.19145622849464417},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.14960923790931702},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/anzcc56036.2022.9966962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/anzcc56036.2022.9966962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Australian & New Zealand Control Conference (ANZCC)","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2518876086","https://openalex.org/W2557641257","https://openalex.org/W2565639579","https://openalex.org/W2799058067","https://openalex.org/W2886910176","https://openalex.org/W2894651257","https://openalex.org/W2954137266","https://openalex.org/W2962721361","https://openalex.org/W2963074722","https://openalex.org/W2963534981","https://openalex.org/W2963857746","https://openalex.org/W2975515210","https://openalex.org/W2988452521","https://openalex.org/W2997207016","https://openalex.org/W2998434318","https://openalex.org/W3146366485","https://openalex.org/W3169909246","https://openalex.org/W3191211853","https://openalex.org/W3198986898","https://openalex.org/W3207718618","https://openalex.org/W3214483266","https://openalex.org/W4210553154","https://openalex.org/W4281809276","https://openalex.org/W4282925272","https://openalex.org/W6720898849","https://openalex.org/W6726293469","https://openalex.org/W6726654379","https://openalex.org/W6749967772","https://openalex.org/W6753818355"],"related_works":["https://openalex.org/W1996690921","https://openalex.org/W2012200063","https://openalex.org/W4320086059","https://openalex.org/W4210734798","https://openalex.org/W2405278583","https://openalex.org/W4312249400","https://openalex.org/W2985391290","https://openalex.org/W3093712048","https://openalex.org/W3015573086","https://openalex.org/W3159642117"],"abstract_inverted_index":{"The":[0,68,100],"Siamese-based":[1,37],"trackers":[2,38],"have":[3,120],"received":[4],"much":[5],"attention":[6],"due":[7],"to":[8,92],"their":[9],"great":[10],"performance":[11],"in":[12,49,89,105],"the":[13,21,29,75,90,95,106,110,122,127],"field":[14,85],"of":[15,72,97,102,126],"target":[16],"tracking.":[17,51],"However,":[18],"it":[19],"ignores":[20],"relationships":[22],"and":[23,80,124],"interdependencies":[24],"between":[25],"different":[26],"features,":[27],"impeding":[28],"robustness":[30,123],"under":[31],"various":[32],"conditions.":[33],"In":[34,52],"addition,":[35],"most":[36],"suffer":[39],"from":[40],"multiple":[41],"special":[42],"challenges,":[43],"such":[44],"as":[45],"Fast":[46],"Motion,":[47],"Occlusion":[48],"UAV":[50,117],"this":[53],"paper,":[54],"we":[55],"propose":[56],"an":[57],"anchor-free":[58],"based":[59],"object":[60],"tracking":[61,118],"algorithm":[62],"with":[63,94],"multi-scale":[64,83,98],"aggregation":[65],"Siamese":[66],"Network.":[67],"proposed":[69,128],"method":[70],"consists":[71],"three":[73,115],"parts:":[74],"feature":[76],"extraction":[77],"network,":[78],"Encoder":[79],"Decoder.":[81],"A":[82],"receptive":[84],"structure":[86],"is":[87],"designed":[88],"encoder":[91],"deal":[93],"problem":[96],"change.":[99],"design":[101],"adaptive":[103],"anchor":[104],"decoder":[107],"effectively":[108],"reduces":[109],"relevant":[111],"hyper-parameters.":[112],"Experiments":[113],"on":[114],"challenging":[116],"benchmarks":[119],"demonstrated":[121],"effectiveness":[125],"method.":[129]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}