{"id":"https://openalex.org/W3190916078","doi":"https://doi.org/10.24963/ijcai.2021/132","title":"SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking","display_name":"SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3190916078","doi":"https://doi.org/10.24963/ijcai.2021/132","mag":"3190916078"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/132","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/132","pdf_url":"https://www.ijcai.org/proceedings/2021/0132.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0132.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101873531","display_name":"Jinlong Peng","orcid":"https://orcid.org/0009-0003-1887-6406"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Peng","raw_affiliation_strings":["Tencent Youtu Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Youtu Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101637347","display_name":"Zhengkai Jiang","orcid":"https://orcid.org/0000-0003-4064-994X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengkai Jiang","raw_affiliation_strings":["Tencent Youtu Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Youtu Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101635216","display_name":"Yueyang Gu","orcid":"https://orcid.org/0009-0006-3266-636X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueyang Gu","raw_affiliation_strings":["Tencent Youtu Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Youtu Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741279","display_name":"Yang Wu","orcid":"https://orcid.org/0000-0001-8010-6857"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yang Wu","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028731909","display_name":"Yabiao Wang","orcid":"https://orcid.org/0000-0002-6592-8411"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yabiao Wang","raw_affiliation_strings":["Tencent Youtu Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Youtu Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029021362","display_name":"Ying Tai","orcid":"https://orcid.org/0000-0002-4665-6852"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Tai","raw_affiliation_strings":["Tencent Youtu Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Youtu Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023834700","display_name":"Chengjie Wang","orcid":"https://orcid.org/0000-0003-4216-8090"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjie Wang","raw_affiliation_strings":["Tencent Youtu Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Youtu Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059372830","display_name":"Weiyao Lin","orcid":"https://orcid.org/0000-0001-8307-7107"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyao Lin","raw_affiliation_strings":["Shanghai Jiao Tong university","Shanghai Jiao Tong University {jeromepeng, zhengkjiang,","Tencent Youtu Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong university","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University {jeromepeng, zhengkjiang,","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Tencent Youtu Lab","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7237,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.95311402,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"952","last_page":"958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9854999780654907,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7478852272033691},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7132787108421326},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6921014785766602},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6661596298217773},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6591309309005737},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6497201323509216},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5712971687316895},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5069077610969543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47037333250045776},{"id":"https://openalex.org/keywords/reciprocal","display_name":"Reciprocal","score":0.464138925075531},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4180949330329895},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4133305549621582},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3652802109718323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16126090288162231},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1396992802619934},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11649817228317261}],"concepts":[{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7478852272033691},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7132787108421326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6921014785766602},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6661596298217773},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6591309309005737},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6497201323509216},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5712971687316895},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5069077610969543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47037333250045776},{"id":"https://openalex.org/C2777742833","wikidata":"https://www.wikidata.org/wiki/Q1964083","display_name":"Reciprocal","level":2,"score":0.464138925075531},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4180949330329895},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4133305549621582},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3652802109718323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16126090288162231},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1396992802619934},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11649817228317261},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/132","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/132","pdf_url":"https://www.ijcai.org/proceedings/2021/0132.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/132","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/132","pdf_url":"https://www.ijcai.org/proceedings/2021/0132.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3190916078.pdf","grobid_xml":"https://content.openalex.org/works/W3190916078.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2117539524","https://openalex.org/W2158592639","https://openalex.org/W2194775991","https://openalex.org/W2470394683","https://openalex.org/W2504335775","https://openalex.org/W2557641257","https://openalex.org/W2794744029","https://openalex.org/W2799058067","https://openalex.org/W2884561390","https://openalex.org/W2886904239","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2913466142","https://openalex.org/W2937749627","https://openalex.org/W2963227409","https://openalex.org/W2963534981","https://openalex.org/W2966759264","https://openalex.org/W2982770724","https://openalex.org/W2987460522","https://openalex.org/W2989604896","https://openalex.org/W2989688045","https://openalex.org/W2998027361","https://openalex.org/W2998434318","https://openalex.org/W3001584168","https://openalex.org/W3012573144","https://openalex.org/W3031594087","https://openalex.org/W3035211844","https://openalex.org/W3035257046","https://openalex.org/W3035453691","https://openalex.org/W3035571898","https://openalex.org/W3095753995","https://openalex.org/W3096068180","https://openalex.org/W3097883757","https://openalex.org/W3108235634","https://openalex.org/W3108519869","https://openalex.org/W4308909683","https://openalex.org/W4394657967"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W4287027631","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Recently,":[0],"most":[1],"siamese":[2,50],"network":[3],"based":[4],"trackers":[5],"locate":[6],"targets":[7],"via":[8],"object":[9],"classification":[10,21,40,70],"and":[11,41,62,71,116,128,141],"bounding-box":[12,18],"regression.":[13,42],"Generally,":[14],"they":[15],"select":[16],"the":[17,24,31,36,93,102,105,114,124,132,152],"with":[19,58],"maximum":[20],"confidence":[22],"as":[23,101],"final":[25],"prediction.":[26],"This":[27,111],"strategy":[28],"may":[29],"miss":[30],"right":[32],"result":[33],"due":[34],"to":[35,91],"accuracy":[37],"misalignment":[38],"between":[39,69],"In":[43,84],"this":[44,56],"paper,":[45],"we":[46,86],"propose":[47],"a":[48,59,88],"novel":[49],"tracking":[51],"algorithm":[52],"called":[53],"SiamRCR,":[54],"addressing":[55],"problem":[57],"simple,":[60],"light":[61],"effective":[63],"solution.":[64],"It":[65],"builds":[66],"reciprocal":[67],"links":[68],"regression":[72,106],"branches,":[73],"which":[74],"can":[75,99],"dynamically":[76],"re-weight":[77],"their":[78],"losses":[79],"for":[80],"each":[81],"positive":[82],"sample.":[83],"addition,":[85],"add":[87],"localization":[89,94],"branch":[90,112],"predict":[92],"accuracy,":[95],"so":[96],"that":[97],"it":[98],"work":[100],"replacement":[103],"of":[104,126],"assistance":[107],"link":[108],"during":[109],"inference.":[110],"makes":[113],"training":[115],"inference":[117],"more":[118],"consistent.":[119],"Extensive":[120],"experimental":[121],"results":[122],"demonstrate":[123],"effectiveness":[125],"SiamRCR":[127,145],"its":[129],"superiority":[130],"over":[131],"state-of-the-art":[133],"competitors":[134],"on":[135],"GOT-10k,":[136],"LaSOT,":[137],"TrackingNet,":[138],"OTB-2015,":[139],"VOT-2018":[140],"VOT-2019.":[142],"Moreover,":[143],"our":[144],"runs":[146],"at":[147],"65":[148],"FPS,":[149],"far":[150],"above":[151],"real-time":[153],"requirement.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}