{"id":"https://openalex.org/W4362496266","doi":"https://doi.org/10.1109/tcsvt.2023.3263683","title":"Two-Way Complementary Tracking Guidance","display_name":"Two-Way Complementary Tracking Guidance","publication_year":2023,"publication_date":"2023-04-03","ids":{"openalex":"https://openalex.org/W4362496266","doi":"https://doi.org/10.1109/tcsvt.2023.3263683"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3263683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3263683","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5088609880","display_name":"Baojie Fan","orcid":"https://orcid.org/0000-0002-1627-9726"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baojie Fan","raw_affiliation_strings":["College of Automation and the College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1627-9726","affiliations":[{"raw_affiliation_string":"College of Automation and the College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100627368","display_name":"Kexin Chen","orcid":"https://orcid.org/0000-0003-4248-7681"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kexin Chen","raw_affiliation_strings":["College of Automation and the College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation and the College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005382201","display_name":"Guo\u2010Ping Jiang","orcid":"https://orcid.org/0000-0001-9448-0989"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoping Jiang","raw_affiliation_strings":["College of Automation and the College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9448-0989","affiliations":[{"raw_affiliation_string":"College of Automation and the College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101818810","display_name":"Jiandong Tian","orcid":"https://orcid.org/0000-0002-5027-1381"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiandong Tian","raw_affiliation_strings":["State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-5027-1381","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5318,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64982435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"33","issue":"11","first_page":"6200","last_page":"6212"},"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9546999931335449,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9542999863624573,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7003259062767029},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6430436372756958},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6195005178451538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6159484386444092},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5787034630775452},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5318355560302734},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5133911371231079},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4972098171710968},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.46071940660476685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3554217517375946},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.3412679433822632},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21972984075546265},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12945568561553955},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10017415881156921}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7003259062767029},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6430436372756958},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6195005178451538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6159484386444092},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5787034630775452},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5318355560302734},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5133911371231079},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4972098171710968},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.46071940660476685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3554217517375946},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.3412679433822632},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21972984075546265},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12945568561553955},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10017415881156921},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3263683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3263683","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6299999952316284,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G6652300243","display_name":null,"funder_award_id":"U2013210","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1857884451","https://openalex.org/W1861492603","https://openalex.org/W2117539524","https://openalex.org/W2129987527","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2470394683","https://openalex.org/W2504335775","https://openalex.org/W2518876086","https://openalex.org/W2557641257","https://openalex.org/W2592463526","https://openalex.org/W2792121015","https://openalex.org/W2794744029","https://openalex.org/W2799058067","https://openalex.org/W2886904239","https://openalex.org/W2886910176","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2906580494","https://openalex.org/W2913466142","https://openalex.org/W2937749627","https://openalex.org/W2950268230","https://openalex.org/W2962766617","https://openalex.org/W2962824803","https://openalex.org/W2963074722","https://openalex.org/W2963227409","https://openalex.org/W2963299996","https://openalex.org/W2963471260","https://openalex.org/W2963534981","https://openalex.org/W2964423614","https://openalex.org/W2966759264","https://openalex.org/W2982770724","https://openalex.org/W2998027361","https://openalex.org/W2998434318","https://openalex.org/W3001584168","https://openalex.org/W3021978732","https://openalex.org/W3034297219","https://openalex.org/W3035453691","https://openalex.org/W3035511673","https://openalex.org/W3035571898","https://openalex.org/W3035672751","https://openalex.org/W3108519869","https://openalex.org/W3109586821","https://openalex.org/W3134749454","https://openalex.org/W3138516171","https://openalex.org/W3159231306","https://openalex.org/W3167536469","https://openalex.org/W3172670627","https://openalex.org/W3190916078","https://openalex.org/W3204540098","https://openalex.org/W3211001284","https://openalex.org/W3214586131","https://openalex.org/W4214489586","https://openalex.org/W4214759957","https://openalex.org/W4226077544","https://openalex.org/W4289535600","https://openalex.org/W4293209950","https://openalex.org/W4296079497","https://openalex.org/W4312255167","https://openalex.org/W4312378146","https://openalex.org/W4312651496","https://openalex.org/W4312751983","https://openalex.org/W4312805142","https://openalex.org/W4312821902","https://openalex.org/W6620707391","https://openalex.org/W6639102338","https://openalex.org/W6679461745","https://openalex.org/W6720898849","https://openalex.org/W6759215614","https://openalex.org/W6776662004","https://openalex.org/W6780018109","https://openalex.org/W6784746398","https://openalex.org/W6805147364","https://openalex.org/W6841024383","https://openalex.org/W6847120741"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W57279572","https://openalex.org/W3104472694","https://openalex.org/W2141888607","https://openalex.org/W2753886513"],"abstract_inverted_index":{"Recently,":[0],"most":[1],"impressive":[2],"Siamese":[3],"network-based":[4],"trackers":[5,230],"are":[6],"equipped":[7],"with":[8,107,116,134,204],"two":[9],"independent":[10],"branches:":[11],"tracked":[12,78],"object":[13,64,79],"classification":[14,44,87,93,118,153],"and":[15,39,45,70,88,155,180,194,197,241,251,266],"bounding":[16],"box":[17],"regression.":[18],"However,":[19],"there":[20],"is":[21,80,144,178],"no":[22],"tracking":[23,30,72,173,187,257],"information":[24,73],"exchange":[25],"between":[26,42,86],"them":[27],"during":[28,48,170],"the":[29,37,52,68,77,92,97,105,113,117,121,126,140,161,165,171,233,236,247,255],"optimization":[31,128],"process.":[32],"This":[33],"may":[34],"lead":[35],"to":[36,75,82,100,104,130,164,182,201,219,232],"task-mismatch":[38],"accuracy":[40],"inconsistency":[41],"both":[43],"regression":[46,89,98,114,122,156],"branches":[47],"inference.":[49],"To":[50],"tackle":[51],"problems,":[53],"we":[54,210],"propose":[55],"a":[56,147],"novel":[57],"Mutual":[58,142],"Guidance":[59,143],"(MG)":[60],"strategy":[61],"for":[62,167,228],"visual":[63],"tracking,":[65],"which":[66,158,223],"constructs":[67],"bidirectional":[69],"complementary":[71],"interaction":[74],"maintain":[76],"well-classified":[81],"also":[83,124,211],"be":[84,183],"well-localized,":[85],"branches.":[90],"Specifically,":[91],"branch":[94,123,216,227],"can":[95],"guide":[96],"one":[99],"pay":[101],"more":[102],"attention":[103],"sample":[106,169],"high":[108],"classified":[109],"scores,":[110],"by":[111,146],"re-weighting":[112],"loss":[115],"confidence.":[119],"Similarity,":[120],"guides":[125],"classifier":[127],"process":[129],"focus":[131],"on":[132,152,259],"samples":[133],"larger":[135],"IoU":[136],"values.":[137],"And":[138],"then,":[139],"proposed":[141],"completed":[145],"series":[148],"of":[149,238,249],"regularization":[150],"designs":[151],"score":[154],"IoU,":[157],"dynamically":[159],"re-assign":[160],"adaptive":[162,214],"weights":[163],"losses":[166],"each":[168],"joint":[172],"optimization.":[174],"The":[175],"developed":[176],"MG":[177],"generic":[179],"easy":[181],"plugged":[184],"into":[185],"various":[186],"frameworks":[188],"such":[189],"as":[190],"anchor-based,":[191],"anchor-free":[192],"based":[193],"transformer":[195],"based,":[196],"boost":[198],"their":[199],"performance":[200],"some":[202],"extent":[203],"negligible":[205],"additional":[206],"cost.":[207],"In":[208],"addition,":[209],"develop":[212],"an":[213],"localization(L)":[215],"selection":[217],"scheme":[218],"further":[220],"assist":[221],"trackers,":[222],"determines":[224],"proper":[225],"localization":[226],"different":[229],"according":[231],"difference":[234],"in":[235],"way":[237],"discriminating":[239],"positive":[240],"negative":[242],"samples.":[243],"Extensive":[244],"experiments":[245],"verify":[246],"effectiveness":[248],"MGL":[250],"its":[252],"superiority":[253],"against":[254],"state-of-the-art":[256],"modules":[258],"OTB100,":[260],"GOT-10K,":[261],"LaSOT,":[262],"TrackingNet,":[263],"UAV123,":[264],"VOT2018":[265],"VOT2019.":[267]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
