{"id":"https://openalex.org/W4406857531","doi":"https://doi.org/10.1109/tmm.2025.3535329","title":"Local Fine-Grained Visual Tracking","display_name":"Local Fine-Grained Visual Tracking","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406857531","doi":"https://doi.org/10.1109/tmm.2025.3535329"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3535329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3535329","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/A5014956557","display_name":"Jingjing Wu","orcid":"https://orcid.org/0000-0002-3818-4277"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Wu","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3818-4277","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101677993","display_name":"Yifan Sun","orcid":"https://orcid.org/0000-0001-9859-8300"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Sun","raw_affiliation_strings":["Baidu, Beijing, China","Baidu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu, Beijing, China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Baidu","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051332325","display_name":"Richang Hong","orcid":"https://orcid.org/0000-0001-5461-3986"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Richang Hong","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5461-3986","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7655,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66632202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"27","issue":null,"first_page":"3426","last_page":"3436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.5533000230789185,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.5533000230789185,"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":0.8401415348052979},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48249173164367676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43861401081085205},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.42508867383003235},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.356028288602829},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3446570932865143}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8401415348052979},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48249173164367676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43861401081085205},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.42508867383003235},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.356028288602829},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3446570932865143},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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":1,"locations":[{"id":"doi:10.1109/tmm.2025.3535329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3535329","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":[],"awards":[{"id":"https://openalex.org/G266795963","display_name":null,"funder_award_id":"61932007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4907296540","display_name":null,"funder_award_id":"62302142","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":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2023633446","https://openalex.org/W2089961441","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2520346623","https://openalex.org/W2605173812","https://openalex.org/W2737362155","https://openalex.org/W2794744029","https://openalex.org/W2799058067","https://openalex.org/W2891033863","https://openalex.org/W2894176037","https://openalex.org/W2897765997","https://openalex.org/W2898200825","https://openalex.org/W2955747520","https://openalex.org/W2962766617","https://openalex.org/W2963227409","https://openalex.org/W2963488642","https://openalex.org/W2963534981","https://openalex.org/W2964423614","https://openalex.org/W2966759264","https://openalex.org/W2997248655","https://openalex.org/W2998508940","https://openalex.org/W3001584168","https://openalex.org/W3035211844","https://openalex.org/W3035453691","https://openalex.org/W3035460038","https://openalex.org/W3035571898","https://openalex.org/W3108519869","https://openalex.org/W3119473260","https://openalex.org/W3159231306","https://openalex.org/W3167762749","https://openalex.org/W3212995679","https://openalex.org/W3214586131","https://openalex.org/W4206911883","https://openalex.org/W4214810297","https://openalex.org/W4286373836","https://openalex.org/W4312323989","https://openalex.org/W4312532041","https://openalex.org/W4312647976","https://openalex.org/W4312651496","https://openalex.org/W4312741088","https://openalex.org/W4312751983","https://openalex.org/W4312805142","https://openalex.org/W4312997189","https://openalex.org/W4315783521","https://openalex.org/W4319990521","https://openalex.org/W4386065544","https://openalex.org/W4386066081","https://openalex.org/W4386066394","https://openalex.org/W4386066459","https://openalex.org/W4388691829","https://openalex.org/W6757817989","https://openalex.org/W6779442434"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0,19],"paper":[1,72,91],"introduces":[2],"a":[3,36,41,74,93,114],"novel":[4],"local":[5,15,37,56,75,86,104,139],"fine-grained":[6,57,76,87,184],"visual":[7],"tracking":[8,77,83],"task,":[9],"aiming":[10],"to":[11,34,80,96,135,150,162,174],"precisely":[12],"locate":[13],"arbitrary":[14],"parts":[16],"of":[17,40,47,55,103,113,142,166,178],"objects.":[18,145],"task":[20],"is":[21,148,160],"motivated":[22],"by":[23,101],"our":[24],"observation":[25],"that":[26],"in":[27,62,155,181],"many":[28],"realistic":[29],"scenarios,":[30],"the":[31,45,52,82,98,133,138,143,164,176,182],"user":[32],"demands":[33],"track":[35],"part":[38],"instead":[39,141],"holistic":[42,144],"object.":[43],"However,":[44],"absence":[46],"an":[48,156],"evaluation":[49],"dataset":[50,79],"and":[51,108,119,128,153],"distinctive":[53],"characteristics":[54],"targets":[58],"present":[59],"extra":[60],"challenges":[61,99],"conducting":[63],"this":[64,71,90],"research.":[65],"To":[66],"tackle":[67],"these":[68],"issues,":[69],"first,":[70],"constructs":[73],"(LFT)":[78],"evaluate":[81],"performance":[84],"for":[85,127],"targets.":[88],"Second,":[89],"designs":[92],"cutting-edge":[94],"solution":[95],"handle":[97],"posed":[100],"properties":[102],"objects,":[105],"including":[106],"ambiguity":[107],"high-proportion":[109,167],"backgrounds.":[110,168],"It":[111],"consists":[112],"hierarchical":[115],"adaptive":[116],"mask":[117],"mechanism":[118],"foreground-background":[120],"differentiated":[121],"learning.":[122],"The":[123,146],"former":[124],"adaptively":[125],"searches":[126],"masks":[129],"ambiguity,":[130],"which":[131,159],"drives":[132],"network":[134],"concentrate":[136],"on":[137],"target":[140],"latter":[147],"constructed":[149],"distinguish":[151],"foreground":[152],"background":[154],"unsupervised":[157],"manner,":[158],"beneficial":[161],"mitigate":[163],"impacts":[165],"Extensive":[169],"analytic":[170],"experiments":[171],"are":[172],"performed":[173],"verify":[175],"effectiveness":[177],"each":[179],"submodule":[180],"proposed":[183],"tracker.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
