{"id":"https://openalex.org/W4226219503","doi":"https://doi.org/10.1109/tnnls.2022.3208605","title":"Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking","display_name":"Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4226219503","doi":"https://doi.org/10.1109/tnnls.2022.3208605","pmid":"https://pubmed.ncbi.nlm.nih.gov/36227811"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3208605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3208605","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5040501978","display_name":"Hongtao Yu","orcid":"https://orcid.org/0000-0002-8836-337X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongtao Yu","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-8836-337X","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006952581","display_name":"Pengfei Zhu","orcid":"https://orcid.org/0000-0002-4310-9140"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Zhu","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-4310-9140","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075412755","display_name":"Kaihua Zhang","orcid":"https://orcid.org/0000-0002-1613-3401"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaihua Zhang","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1613-3401","affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445217","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-4788-8655"},"institutions":[{"id":"https://openalex.org/I4210094894","display_name":"China Automotive Technology and Research Center","ror":"https://ror.org/00r5r6807","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210094894"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Automotive Data of China (Tianjin) Company Ltd., Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-4788-8655","affiliations":[{"raw_affiliation_string":"Automotive Data of China (Tianjin) Company Ltd., Tianjin, China","institution_ids":["https://openalex.org/I4210094894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694824","display_name":"Shuai Zhao","orcid":"https://orcid.org/0000-0002-5217-004X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I4210094894","display_name":"China Automotive Technology and Research Center","ror":"https://ror.org/00r5r6807","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210094894"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Zhao","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China","Automotive Data of China (Tianjin) Company Ltd., Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Automotive Data of China (Tianjin) Company Ltd., Tianjin, China","institution_ids":["https://openalex.org/I4210094894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435851","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-1118-0479"},"institutions":[{"id":"https://openalex.org/I4210094894","display_name":"China Automotive Technology and Research Center","ror":"https://ror.org/00r5r6807","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210094894"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Automotive Data of China (Tianjin) Company Ltd., Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automotive Data of China (Tianjin) Company Ltd., Tianjin, China","institution_ids":["https://openalex.org/I4210094894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648981","display_name":"Tianzhu Zhang","orcid":"https://orcid.org/0000-0003-1856-9564"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzhu Zhang","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China (USTC), Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1856-9564","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China (USTC), Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056686459","display_name":"Qinghua Hu","orcid":"https://orcid.org/0000-0001-7765-8095"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Hu","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7765-8095","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5040501978"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":1.1175,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78237699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"35","issue":"4","first_page":"5656","last_page":"5670"},"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":0.9944999814033508,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9922999739646912,"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/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.8184962272644043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7904301881790161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7699952125549316},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6917092800140381},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5594423413276672},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5452731847763062},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5322625041007996},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.49527183175086975},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.48914483189582825},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4783156216144562},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.46328726410865784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4208422303199768},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.419994056224823},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41808217763900757},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.245549738407135},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1107034683227539}],"concepts":[{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8184962272644043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7904301881790161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7699952125549316},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6917092800140381},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5594423413276672},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5452731847763062},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5322625041007996},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.49527183175086975},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.48914483189582825},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4783156216144562},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.46328726410865784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4208422303199768},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.419994056224823},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41808217763900757},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.245549738407135},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1107034683227539},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3208605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3208605","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:36227811","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36227811","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,"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":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1585402135","display_name":null,"funder_award_id":"62222608","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G214305076","display_name":null,"funder_award_id":"61876127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2840396449","display_name":null,"funder_award_id":"62276141","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4013770026","display_name":null,"funder_award_id":"61925602","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5057656283","display_name":null,"funder_award_id":"62106174","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6813436119","display_name":null,"funder_award_id":"61732011","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":68,"referenced_works":["https://openalex.org/W1510906150","https://openalex.org/W1857884451","https://openalex.org/W1964846093","https://openalex.org/W2034803354","https://openalex.org/W2114550641","https://openalex.org/W2194775991","https://openalex.org/W2408241409","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2557641257","https://openalex.org/W2558899534","https://openalex.org/W2739491435","https://openalex.org/W2794744029","https://openalex.org/W2799058067","https://openalex.org/W2799239273","https://openalex.org/W2886904239","https://openalex.org/W2889658408","https://openalex.org/W2890447039","https://openalex.org/W2898200825","https://openalex.org/W2913466142","https://openalex.org/W2916743882","https://openalex.org/W2916780012","https://openalex.org/W2937749627","https://openalex.org/W2955983623","https://openalex.org/W2962719749","https://openalex.org/W2962824803","https://openalex.org/W2962825871","https://openalex.org/W2963091558","https://openalex.org/W2963227409","https://openalex.org/W2963471260","https://openalex.org/W2963534981","https://openalex.org/W2963732700","https://openalex.org/W2964111344","https://openalex.org/W2964242925","https://openalex.org/W2964423614","https://openalex.org/W2966759264","https://openalex.org/W2987460522","https://openalex.org/W2990205821","https://openalex.org/W2998027361","https://openalex.org/W2998434318","https://openalex.org/W3001584168","https://openalex.org/W3034297219","https://openalex.org/W3034617042","https://openalex.org/W3035211844","https://openalex.org/W3035257046","https://openalex.org/W3035511673","https://openalex.org/W3035571898","https://openalex.org/W3047017093","https://openalex.org/W3092709317","https://openalex.org/W3094664776","https://openalex.org/W3108519869","https://openalex.org/W3108819577","https://openalex.org/W3122239467","https://openalex.org/W3172670627","https://openalex.org/W3173344965","https://openalex.org/W3209887563","https://openalex.org/W4385245566","https://openalex.org/W6630840828","https://openalex.org/W6631190155","https://openalex.org/W6745537798","https://openalex.org/W6754033419","https://openalex.org/W6759534164","https://openalex.org/W6784094891","https://openalex.org/W6784713722","https://openalex.org/W6792298964","https://openalex.org/W6796505553","https://openalex.org/W6796524941","https://openalex.org/W6966936708"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W4406109044","https://openalex.org/W4406731786","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W2511178891","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W2753886513","https://openalex.org/W2070920257"],"abstract_inverted_index":{"Recently,":[0],"template-based":[1],"trackers":[2,54,75],"have":[3,158],"become":[4],"the":[5,19,26,43,63,73,79,83,88,118,121,130,133,142,146,150,153,162,168,175,190,193,198,225,238,247],"leading":[6],"tracking":[7,64,124,151,176,214],"algorithms":[8],"with":[9,78,141,161],"promising":[10],"performance":[11,65],"in":[12,145],"terms":[13],"of":[14,66,72,82,94,120,227],"efficiency":[15],"and":[16,25,102,197,222,244],"accuracy.":[17],"However,":[18,70],"correlation":[20,160,191],"operation":[21],"between":[22,192],"query":[23,195],"feature":[24,196],"given":[27],"template":[28],"only":[29,76],"achieves":[30],"accurate":[31],"target":[32,44,80,131,143,155],"localization,":[33],"but":[34],"is":[35,252],"prone":[36],"to":[37,61,116,167,188,203],"state":[38],"estimation":[39],"error,":[40],"especially":[41],"when":[42],"suffers":[45],"from":[46,132],"severe":[47],"deformation.":[48],"To":[49,105,172],"address":[50],"this":[51,106],"issue,":[52],"segmentation-based":[53,122,240],"are":[55,165],"proposed":[56],"that":[57,126,157],"use":[58,182],"per-pixel":[59],"matching":[60,186],"improve":[62,174],"deformable":[67,179],"objects":[68],"effectively.":[69],"most":[71],"existing":[74,163],"match":[77],"features":[81,144,156],"initial":[84],"frame,":[85],"thereby":[86],"lacking":[87],"discrimination":[89,119],"for":[90,178],"handling":[91],"a":[92,110,138,183],"variety":[93],"challenging":[95,213],"factors,":[96],"e.g.,":[97],"similar":[98],"distractors,":[99],"background":[100],"clutter,":[101],"appearance":[103],"change.":[104],"end,":[107],"we":[108,136,181],"propose":[109],"dynamic":[111],"compact":[112],"memory":[113,139,164,169],"embedding":[114,140,170],"technique":[115],"enhance":[117],"visual":[123],"method":[125,229],"can":[127],"well":[128],"tell":[129],"background.":[134],"Specifically,":[135],"initialize":[137],"first":[147],"frame.":[148],"During":[149],"process,":[152],"current":[154],"certain":[159],"updated":[166],"online.":[171],"further":[173],"accuracy":[177],"objects,":[180],"weighted":[184],"point-to-global":[185],"strategy":[187],"measure":[189],"pixelwise":[194],"whole":[199],"template,":[200],"so":[201],"as":[202],"capture":[204],"more":[205],"detailed":[206],"deformation":[207],"information.":[208],"Extensive":[209],"evaluations":[210],"on":[211,246],"six":[212],"benchmarks":[215],"including":[216],"VOT2016,":[217],"VOT2018,":[218],"VOT2019,":[219],"GOT-10K,":[220],"TrackingNet,":[221],"LaSOT":[223],"demonstrate":[224],"superiority":[226],"our":[228,235],"over":[230],"recent":[231],"remarkable":[232],"trackers.":[233],"Besides,":[234],"tracker":[236],"outperforms":[237],"excellent":[239],"trackers,":[241],"i.e.,":[242],"D3S":[243],"SiamMask":[245],"DAVIS2017":[248],"benchmark.":[249],"The":[250],"code":[251],"available":[253],"at":[254],"https://github.com/peace-love243/CMEDFL.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}