{"id":"https://openalex.org/W4286373836","doi":"https://doi.org/10.1109/tmm.2022.3192775","title":"Regression-Selective Feature-Adaptive Tracker for Visual Object Tracking","display_name":"Regression-Selective Feature-Adaptive Tracker for Visual Object Tracking","publication_year":2022,"publication_date":"2022-07-20","ids":{"openalex":"https://openalex.org/W4286373836","doi":"https://doi.org/10.1109/tmm.2022.3192775"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3192775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3192775","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5062232892","display_name":"Ze Zhou","orcid":"https://orcid.org/0000-0001-7371-562X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ze Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-7371-562X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034434932","display_name":"Quansen Sun","orcid":"https://orcid.org/0000-0001-6019-1986"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quansen Sun","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-6019-1986","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346665","display_name":"Hongjun Li","orcid":"https://orcid.org/0000-0001-7500-4979"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Li","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Nantong, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-7500-4979","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Nantong, Jiangsu, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014142920","display_name":"Chaobo Li","orcid":null},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaobo Li","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Nantong, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0003-3772-3344","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Nantong, Jiangsu, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068223297","display_name":"Zhenwen Ren","orcid":"https://orcid.org/0000-0003-3791-9750"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenwen Ren","raw_affiliation_strings":["School of National Defence Science and Technology, Southwest University of Science and Technology, Mianyang, China"],"raw_orcid":"https://orcid.org/0000-0003-3791-9750","affiliations":[{"raw_affiliation_string":"School of National Defence Science and Technology, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062232892"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":1.0204,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77023275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"25","issue":null,"first_page":"5444","last_page":"5457"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9833999872207642,"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":0.9667999744415283,"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/computer-science","display_name":"Computer science","score":0.7922872304916382},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.721670389175415},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6300871968269348},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6035327911376953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5596017241477966},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.5352277159690857},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5145934820175171},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45610788464546204},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43344229459762573},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42784908413887024},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09723296761512756},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07301121950149536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7922872304916382},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.721670389175415},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6300871968269348},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6035327911376953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5596017241477966},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.5352277159690857},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5145934820175171},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45610788464546204},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43344229459762573},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42784908413887024},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09723296761512756},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07301121950149536},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/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:10.1109/tmm.2022.3192775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3192775","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G109500196","display_name":null,"funder_award_id":"61976028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3830962517","display_name":null,"funder_award_id":"61673220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5462865642","display_name":null,"funder_award_id":"61802188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6953621879","display_name":null,"funder_award_id":"BK20180458","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W173320072","https://openalex.org/W639708223","https://openalex.org/W1857884451","https://openalex.org/W1861492603","https://openalex.org/W1955741794","https://openalex.org/W1997121481","https://openalex.org/W2089961441","https://openalex.org/W2117539524","https://openalex.org/W2147800946","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2171590421","https://openalex.org/W2408241409","https://openalex.org/W2470394683","https://openalex.org/W2504335775","https://openalex.org/W2518013266","https://openalex.org/W2518876086","https://openalex.org/W2557641257","https://openalex.org/W2592463526","https://openalex.org/W2605173812","https://openalex.org/W2799058067","https://openalex.org/W2886904239","https://openalex.org/W2886910176","https://openalex.org/W2898200825","https://openalex.org/W2911671827","https://openalex.org/W2927438889","https://openalex.org/W2954137266","https://openalex.org/W2963030525","https://openalex.org/W2963074722","https://openalex.org/W2963227409","https://openalex.org/W2963534981","https://openalex.org/W2963927307","https://openalex.org/W2964242925","https://openalex.org/W2964423614","https://openalex.org/W2966759264","https://openalex.org/W2982770724","https://openalex.org/W2989688045","https://openalex.org/W3000407125","https://openalex.org/W3001584168","https://openalex.org/W3009294634","https://openalex.org/W3018207438","https://openalex.org/W3034117609","https://openalex.org/W3034297219","https://openalex.org/W3035453691","https://openalex.org/W3035511673","https://openalex.org/W3035571898","https://openalex.org/W3035672751","https://openalex.org/W3047017093","https://openalex.org/W3086042382","https://openalex.org/W3093572807","https://openalex.org/W3108235634","https://openalex.org/W3108519869","https://openalex.org/W3108637696","https://openalex.org/W3127796792","https://openalex.org/W3186951627","https://openalex.org/W4214759957","https://openalex.org/W4301014524","https://openalex.org/W6759215614","https://openalex.org/W6767892146"],"related_works":["https://openalex.org/W2060724872","https://openalex.org/W2082094785","https://openalex.org/W2202198356","https://openalex.org/W3087203342","https://openalex.org/W2377184161","https://openalex.org/W228984114","https://openalex.org/W4226360758","https://openalex.org/W2090026684","https://openalex.org/W1996690921","https://openalex.org/W4295332818"],"abstract_inverted_index":{"As":[0],"a":[1,45,63,121],"challenging":[2,152],"visual":[3,5],"task,":[4],"object":[6],"tracking":[7,168,175,186],"has":[8],"recently":[9],"been":[10],"composed":[11],"of":[12,24,173],"the":[13,25,28,31,48,73,80,94,102,112,116,128,132,138,171,184],"classification":[14,103],"and":[15,115,162,170],"regression":[16,20,81,91],"subtasks.":[17],"The":[18,97],"anchor-free":[19],"network":[21],"gets":[22],"rid":[23],"dependence":[26],"on":[27,105,151],"anchors,":[29,84],"but":[30,85],"redundant":[32],"range":[33],"makes":[34],"it":[35],"usually":[36],"regress":[37],"some":[38],"samples":[39,92],"involving":[40],"non-target":[41],"information.":[42,130],"Evenly":[43],"dividing":[44],"target":[46,55,106,124,145],"by":[47,126],"regular":[49],"receptive":[50,113],"field":[51],"often":[52],"causes":[53],"ambiguous":[54],"localization.":[56],"To":[57],"address":[58],"these":[59],"issues,":[60],"we":[61],"propose":[62],"regression-selective":[64,74],"feature-adaptive":[65,99],"tracker":[66,165],"(":[67],"<italic":[68],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[69],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">RSFA</i>":[70],"),":[71],"where":[72],"subnetwork":[75,104],"can":[76,86],"not":[77],"only":[78],"free":[79],"task":[82],"from":[83],"also":[87],"select":[88],"more":[89],"effective":[90],"using":[93],"refined":[95],"criterion.":[96],"proposed":[98],"strategy":[100],"concentrates":[101],"feature":[107],"extraction":[108],"via":[109],"adaptively":[110],"modifying":[111],"field,":[114],"attached":[117],"centrality":[118],"branch":[119],"offers":[120],"correction":[122],"for":[123],"localization":[125],"exploiting":[127],"spatial":[129],"Additionally,":[131],"designed":[133],"online":[134,140],"update":[135],"mechanism":[136],"realizes":[137],"tracker's":[139],"optimization,":[141],"improving":[142],"robustness":[143],"against":[144],"deformation.":[146],"Extensive":[147],"experiments":[148],"are":[149],"conducted":[150],"benchmarks,":[153],"including":[154],"GOT10":[155],"K,":[156],"OTB2015,":[157],"UAV123,":[158],"NFS,":[159],"VOT2018,":[160],"VOT2019":[161],"VOT2020-ST.":[163],"Our":[164],"achieves":[166],"satisfactory":[167],"results,":[169],"evaluations":[172],"its":[174],"performance":[176],"rank":[177],"first":[178],"or":[179],"second":[180],"in":[181],"comparison":[182],"with":[183],"state-of-the-art":[185],"algorithms.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
