{"id":"https://openalex.org/W3039971748","doi":"https://doi.org/10.1109/access.2020.3005511","title":"Deeper Siamese Network With Stronger Feature Representation for Visual Tracking","display_name":"Deeper Siamese Network With Stronger Feature Representation for Visual Tracking","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3039971748","doi":"https://doi.org/10.1109/access.2020.3005511","mag":"3039971748"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3005511","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3005511","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09127416.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09127416.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101951193","display_name":"Chaoyi Zhang","orcid":"https://orcid.org/0000-0001-8090-2888"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chaoyi Zhang","raw_affiliation_strings":["Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078556323","display_name":"Howard Wang","orcid":"https://orcid.org/0000-0001-9905-4049"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Howard Wang","raw_affiliation_strings":["Department of Electrical, Computer, and Software Engineering, The University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer, and Software Engineering, The University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032246506","display_name":"Jiwei Wen","orcid":"https://orcid.org/0000-0001-8780-4762"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwei Wen","raw_affiliation_strings":["Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0001-8780-4762","affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432777","display_name":"Li Peng","orcid":"https://orcid.org/0000-0003-2774-1637"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Peng","raw_affiliation_strings":["Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101951193"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3923,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61557061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"119094","last_page":"119104"},"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/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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9965999722480774,"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":0.7352961301803589},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6358517408370972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6125699877738953},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6042988300323486},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5783988833427429},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.46026521921157837},{"id":"https://openalex.org/keywords/feature-tracking","display_name":"Feature tracking","score":0.4469244182109833},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4399828016757965},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4201820194721222},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3914141356945038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7352961301803589},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6358517408370972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6125699877738953},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6042988300323486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5783988833427429},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.46026521921157837},{"id":"https://openalex.org/C2987395694","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Feature tracking","level":3,"score":0.4469244182109833},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4399828016757965},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4201820194721222},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3914141356945038},{"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3005511","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3005511","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09127416.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:abf9953cc9bb4bb2b93a5daae04a5c84","is_oa":true,"landing_page_url":"https://doaj.org/article/abf9953cc9bb4bb2b93a5daae04a5c84","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 119094-119104 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3005511","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3005511","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09127416.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2283498482","display_name":null,"funder_award_id":"2018YFD0400902","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3569108904","display_name":null,"funder_award_id":"61873112","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/W3039971748.pdf","grobid_xml":"https://content.openalex.org/works/W3039971748.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W2044986361","https://openalex.org/W2117539524","https://openalex.org/W2119112357","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2211629196","https://openalex.org/W2214352687","https://openalex.org/W2408241409","https://openalex.org/W2424629859","https://openalex.org/W2557641257","https://openalex.org/W2604987967","https://openalex.org/W2613718673","https://openalex.org/W2739491435","https://openalex.org/W2752782242","https://openalex.org/W2776035257","https://openalex.org/W2779380177","https://openalex.org/W2797812763","https://openalex.org/W2798842862","https://openalex.org/W2799058067","https://openalex.org/W2800990595","https://openalex.org/W2810979746","https://openalex.org/W2884585870","https://openalex.org/W2886910176","https://openalex.org/W2890678738","https://openalex.org/W2890882065","https://openalex.org/W2894176037","https://openalex.org/W2896009640","https://openalex.org/W2898200825","https://openalex.org/W2913466142","https://openalex.org/W2920338184","https://openalex.org/W2927438889","https://openalex.org/W2937749627","https://openalex.org/W2941201280","https://openalex.org/W2955747520","https://openalex.org/W2963030525","https://openalex.org/W2963074722","https://openalex.org/W2963420686","https://openalex.org/W2963854930","https://openalex.org/W2964111344","https://openalex.org/W2964253307","https://openalex.org/W2964423614","https://openalex.org/W2975183808","https://openalex.org/W2987460522","https://openalex.org/W3034552520","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6754268173","https://openalex.org/W6759215614","https://openalex.org/W6760066526","https://openalex.org/W6768952390"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2891212077","https://openalex.org/W2141033859","https://openalex.org/W2079319211","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2155417597","https://openalex.org/W1562039011","https://openalex.org/W109989176"],"abstract_inverted_index":{"Siamese":[0],"network":[1,27,208],"based":[2,108],"visual":[3],"tracking":[4,99,112],"has":[5],"drawn":[6],"considerable":[7],"attention":[8,129,191,211],"recently":[9],"due":[10],"to":[11,53,72,80,153,171],"the":[12,31,38,43,48,55,64,81,86,92,98,105,110,155,181,194,199,207],"balanced":[13],"accuracy":[14,100,230],"and":[15,29,50,90,101,125,168,177,205,220,231],"speed.":[16],"This":[17],"type":[18],"of":[19,47,67,118,122,127,174,180],"method":[20],"mostly":[21],"trains":[22],"a":[23,58,140,186],"relatively":[24],"shallow":[25,68,169],"twin":[26],"offline,":[28],"measures":[30],"similarity":[32,87],"online":[33],"using":[34],"cross-correlation":[35],"operation":[36],"between":[37,202],"feature":[39,60],"maps":[40],"generated":[41],"by":[42],"last":[44,65],"convolutional":[45],"layer":[46,66],"target":[49,74,156],"search":[51],"regions":[52],"locate":[54],"object.":[56],"Nevertheless,":[57],"single":[59],"map":[61,89],"extracted":[62,164],"from":[63,157,165],"networks":[69],"is":[70],"insufficient":[71],"describe":[73],"appearance,":[75],"as":[76,78],"well":[77],"sensitive":[79],"distractors,":[82],"which":[83,146,197],"could":[84,147],"mislead":[85],"response":[88],"make":[91],"tracker":[93,226],"easily":[94],"drift.":[95],"To":[96],"enhance":[97],"robustness":[102],"while":[103],"maintaining":[104],"real-time":[106,238],"speed,":[107],"on":[109,212,218],"above":[111],"paradigm,":[113],"three":[114],"improvements":[115],"including":[116],"reform":[117],"backbone":[119,144,195],"network,":[120,145,196],"fusion":[121],"hierarchical":[123],"features":[124,151,163],"utilization":[126],"channel":[128,190],"mechanism,":[130],"have":[131],"been":[132],"made":[133],"in":[134,229,237],"this":[135],"paper.":[136],"Firstly,":[137],"we":[138,160,184],"introduce":[139],"modified":[141],"deeper":[142],"VGG16":[143],"extract":[148],"more":[149,210],"powerful":[150],"contributing":[152],"distinguishing":[154],"distractors.":[158],"Secondly,":[159],"fuse":[161],"diverse":[162],"deep":[166],"layers":[167,170],"take":[172],"advantage":[173],"both":[175],"semantic":[176],"spatial":[178],"information":[179],"target.":[182],"Thirdly,":[183],"incorporate":[185],"novel":[187],"lightweight":[188],"residual":[189],"mechanism":[192],"into":[193],"expands":[198],"weight":[200],"gap":[201],"different":[203],"channels":[204],"helps":[206],"pay":[209],"dominant":[213],"features.":[214],"Extensive":[215],"experimental":[216],"results":[217],"OTB100":[219],"VOT2018":[221],"benchmarks":[222],"demonstrate":[223],"that":[224],"our":[225],"performs":[227],"better":[228],"efficiency":[232],"against":[233],"several":[234],"state-of-the-art":[235],"methods":[236],"scenarios.":[239]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}