{"id":"https://openalex.org/W2998756268","doi":"https://doi.org/10.3390/s20020393","title":"Object Tracking in RGB-T Videos Using Modal-Aware Attention Network and Competitive Learning","display_name":"Object Tracking in RGB-T Videos Using Modal-Aware Attention Network and Competitive Learning","publication_year":2020,"publication_date":"2020-01-10","ids":{"openalex":"https://openalex.org/W2998756268","doi":"https://doi.org/10.3390/s20020393","mag":"2998756268","pmid":"https://pubmed.ncbi.nlm.nih.gov/32284517","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/7014199"},"language":"en","primary_location":{"id":"doi:10.3390/s20020393","doi":"https://doi.org/10.3390/s20020393","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20020393","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dx.doi.org/10.3390/s20020393","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100715414","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0001-8012-4684","observed_orcids":["https://orcid.org/0000-0001-8012-4684"]},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing 100124, China","Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China"],"raw_orcid":"https://orcid.org/0000-0001-8012-4684","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085365060","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0001-5732-2973","observed_orcids":["https://orcid.org/0000-0001-5732-2973"]},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China"],"raw_orcid":"https://orcid.org/0000-0001-5732-2973","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448036","display_name":"Zhuo Li","orcid":"https://orcid.org/0000-0002-9937-2669","observed_orcids":["https://orcid.org/0000-0002-9937-2669"]},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhuo","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing 100124, China","Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China"],"raw_orcid":"https://orcid.org/0000-0002-9937-2669","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032383728","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0003-1290-0738","observed_orcids":["https://orcid.org/0000-0003-1290-0738"]},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing 100124, China","Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China"],"raw_orcid":"https://orcid.org/0000-0003-1290-0738","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100715414"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2112},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2112},"fwci":5.1458,"has_fulltext":true,"cited_by_count":145,"citation_normalized_percentile":{"value":0.96634549,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":"20","issue":"2","first_page":"393","last_page":"393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976000189781189,"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":0.9976000189781189,"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":0.0006000000284984708,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/multimodal-fusion","display_name":"multimodal fusion","score":0.6520000100135803},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"competitive learning","score":0.9649999737739563},{"id":"https://openalex.org/keywords/thermal-infrared-imaging","display_name":"thermal infrared imaging","score":0.6179999709129333},{"id":"https://openalex.org/keywords/binary-classifiers","display_name":"binary classifiers","score":0.4259999990463257},{"id":"https://openalex.org/keywords/feature-fusion","display_name":"feature fusion","score":0.42899999022483826}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7560411095619202},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7536259889602661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419132590293884},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6599044799804688},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.597203254699707},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.578716516494751},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5534532070159912},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.502281904220581},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4621257483959198},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.44838380813598633},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42653176188468933},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4212311804294586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3965904712677002},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3638429045677185},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20020393","doi":"https://doi.org/10.3390/s20020393","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20020393","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7014199","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC7014199/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC7014199/pdf/","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:europepmc.org:6004817","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7014199","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Text"},{"id":"pmid:32284517","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32284517","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:361e58df903649ce98b79155d63f61a7","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/361e58df903649ce98b79155d63f61a7","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,"listed_in":[],"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":"Sensors, Vol 20, Iss 2, p 393 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s20020393","doi":"https://doi.org/10.3390/s20020393","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20020393","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G122649873","display_name":null,"funder_award_id":"61701011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3022753591","display_name":null,"funder_award_id":"No.61701011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3777816573","display_name":null,"funder_award_id":"61602018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4955258745","display_name":null,"funder_award_id":"No. 61531006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5228175158","display_name":null,"funder_award_id":"61971016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6613549406","display_name":null,"funder_award_id":"No. 61602018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7297763242","display_name":null,"funder_award_id":"No.61971016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8961798258","display_name":null,"funder_award_id":"61531006","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/W2998756268.pdf","grobid_xml":"https://content.openalex.org/works/W2998756268.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W182940129","https://openalex.org/W818325216","https://openalex.org/W1490454746","https://openalex.org/W1686810756","https://openalex.org/W1857884451","https://openalex.org/W1955741794","https://openalex.org/W1984914017","https://openalex.org/W1995903777","https://openalex.org/W1997121481","https://openalex.org/W2016802777","https://openalex.org/W2071781501","https://openalex.org/W2099471712","https://openalex.org/W2106944077","https://openalex.org/W2154889144","https://openalex.org/W2163605009","https://openalex.org/W2168993425","https://openalex.org/W2214012879","https://openalex.org/W2295160276","https://openalex.org/W2343187456","https://openalex.org/W2403013424","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2521028896","https://openalex.org/W2527415613","https://openalex.org/W2557641257","https://openalex.org/W2558899534","https://openalex.org/W2608627404","https://openalex.org/W2738318237","https://openalex.org/W2765667535","https://openalex.org/W2775609985","https://openalex.org/W2866634454","https://openalex.org/W2888456413","https://openalex.org/W2890301062","https://openalex.org/W2896228140","https://openalex.org/W2899079342","https://openalex.org/W2901716381","https://openalex.org/W2902763051","https://openalex.org/W2953188310","https://openalex.org/W2962824803","https://openalex.org/W2963188742","https://openalex.org/W2963289251","https://openalex.org/W2963495494","https://openalex.org/W2963905288","https://openalex.org/W2964198573","https://openalex.org/W2964242925","https://openalex.org/W2964423614","https://openalex.org/W2996575194","https://openalex.org/W3011470156","https://openalex.org/W4285719527","https://openalex.org/W6713329235"],"related_works":["https://openalex.org/W3196579838","https://openalex.org/W2970995493","https://openalex.org/W4385215686","https://openalex.org/W4399658982","https://openalex.org/W4416798007","https://openalex.org/W4390166391","https://openalex.org/W4385975646","https://openalex.org/W4379797751","https://openalex.org/W4304755982","https://openalex.org/W4392931239"],"abstract_inverted_index":{"Object":[0],"tracking":[1,61,211],"in":[2,9,178],"RGB-thermal":[3],"(RGB-T)":[4],"videos":[5],"is":[6,40,73,176],"increasingly":[7],"used":[8],"many":[10],"fields":[11],"due":[12],"to":[13,44,49,98,131,205],"the":[14,21,28,92,110,119,128,133,153,156,161,167,173,179,182,186],"all-weather":[15],"and":[16,33,69,84,125,160,209],"all-day":[17],"working":[18],"capability":[19],"of":[20,31,94,121,170,181,185],"dual-modality":[22,47],"imaging":[23],"system,":[24],"as":[25,27],"well":[26],"rapid":[29],"development":[30],"low-cost":[32],"miniaturized":[34],"infrared":[35,158],"camera":[36],"technology.":[37],"However,":[38],"it":[39],"still":[41],"very":[42],"challenging":[43],"effectively":[45],"fuse":[46],"information":[48,134],"build":[50],"a":[51,65,77,95,142],"robust":[52],"RGB-T":[53,59,195,208],"tracker.":[54],"In":[55],"this":[56],"paper,":[57],"an":[58,114],"object":[60],"algorithm":[62],"based":[63],"on":[64,152,191],"modal-aware":[66,81,106],"attention":[67,82,107,115],"network":[68,90,97,108,140,175],"competitive":[70,171],"learning":[71],"(MaCNet)":[72],"proposed,":[74],"which":[75],"includes":[76],"feature":[78,88,123,129],"extraction":[79,89],"network,":[80,83],"classification":[85,139],"network.":[86],"The":[87,105,138],"adopts":[91],"form":[93],"two-stream":[96],"extract":[99],"features":[100],"from":[101],"each":[102],"modality":[103],"image.":[104],"integrates":[109],"original":[111],"data,":[112],"establishes":[113],"model":[116],"that":[117,198],"characterizes":[118],"importance":[120],"different":[122],"layers,":[124],"then":[126],"guides":[127],"fusion":[130,162,184],"enhance":[132],"interaction":[135],"between":[136],"modalities.":[137,188],"constructs":[141],"modality-egoistic":[143],"loss":[144],"function":[145],"through":[146],"three":[147],"parallel":[148],"binary":[149],"classifiers":[150],"acting":[151],"RGB":[154,210],"branch,":[155,159,163],"thermal":[157],"respectively.":[164],"Guided":[165],"by":[166],"training":[168],"strategy":[169],"learning,":[172],"entire":[174],"fine-tuned":[177],"direction":[180],"optimal":[183],"dual":[187],"Extensive":[189],"experiments":[190],"several":[192],"publicly":[193],"available":[194],"datasets":[196],"show":[197],"our":[199],"tracker":[200],"has":[201],"superior":[202],"performance":[203],"compared":[204],"other":[206],"latest":[207],"approaches.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":42},{"year":2023,"cited_by_count":37},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2020-01-23T00:00:00"}