{"id":"https://openalex.org/W4200433746","doi":"https://doi.org/10.1109/tpami.2021.3137933","title":"A Discriminative Single-Shot Segmentation Network for Visual Object Tracking","display_name":"A Discriminative Single-Shot Segmentation Network for Visual Object Tracking","publication_year":2021,"publication_date":"2021-12-23","ids":{"openalex":"https://openalex.org/W4200433746","doi":"https://doi.org/10.1109/tpami.2021.3137933","pmid":"https://pubmed.ncbi.nlm.nih.gov/34941502"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2021.3137933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3137933","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5079203706","display_name":"Alan Luke\u017ei\u010d","orcid":"https://orcid.org/0000-0002-6316-2707"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":true,"raw_author_name":"Alan Lukezic","raw_affiliation_strings":["Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007656938","display_name":"Ji\u0159\u0131\u0301 Matas","orcid":"https://orcid.org/0000-0003-0863-4844"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Jiri Matas","raw_affiliation_strings":["Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001632955","display_name":"Matej Kristan","orcid":"https://orcid.org/0000-0002-4252-4342"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Matej Kristan","raw_affiliation_strings":["Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079203706"],"corresponding_institution_ids":["https://openalex.org/I153976015"],"apc_list":null,"apc_paid":null,"fwci":1.345,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83372549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"44","issue":"12","first_page":"9742","last_page":"9755"},"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":0.9987999796867371,"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":0.9984999895095825,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8511143922805786},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7292745113372803},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7192521095275879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6881731748580933},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6041127443313599},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5554366111755371},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5499718189239502},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49283599853515625},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.4689863324165344},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4528906047344208},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.42322057485580444}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8511143922805786},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7292745113372803},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7192521095275879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6881731748580933},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6041127443313599},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5554366111755371},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5499718189239502},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49283599853515625},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.4689863324165344},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4528906047344208},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.42322057485580444},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2021.3137933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3137933","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:34941502","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34941502","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[{"id":"https://openalex.org/G4835773550","display_name":null,"funder_award_id":"GA18-05360S","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"}],"funders":[{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W818325216","https://openalex.org/W1522301498","https://openalex.org/W1857884451","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1904671147","https://openalex.org/W1964846093","https://openalex.org/W2044986361","https://openalex.org/W2119823327","https://openalex.org/W2124351162","https://openalex.org/W2132103241","https://openalex.org/W2149829493","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2194775991","https://openalex.org/W2322480645","https://openalex.org/W2380373457","https://openalex.org/W2408241409","https://openalex.org/W2470139095","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2557641257","https://openalex.org/W2558899534","https://openalex.org/W2605229288","https://openalex.org/W2681067697","https://openalex.org/W2776035257","https://openalex.org/W2781948176","https://openalex.org/W2794744029","https://openalex.org/W2799058067","https://openalex.org/W2799166040","https://openalex.org/W2799239273","https://openalex.org/W2886910176","https://openalex.org/W2889658408","https://openalex.org/W2890447039","https://openalex.org/W2891033863","https://openalex.org/W2895588569","https://openalex.org/W2898200825","https://openalex.org/W2913466142","https://openalex.org/W2916743882","https://openalex.org/W2916780012","https://openalex.org/W2916797271","https://openalex.org/W2917435394","https://openalex.org/W2962824803","https://openalex.org/W2962825871","https://openalex.org/W2962995953","https://openalex.org/W2963074722","https://openalex.org/W2963227409","https://openalex.org/W2963253279","https://openalex.org/W2963503215","https://openalex.org/W2963534981","https://openalex.org/W2963568027","https://openalex.org/W2963732700","https://openalex.org/W2963854930","https://openalex.org/W2964071664","https://openalex.org/W2964111344","https://openalex.org/W2964157492","https://openalex.org/W2964242925","https://openalex.org/W2964253307","https://openalex.org/W2966759264","https://openalex.org/W2982770724","https://openalex.org/W2986357608","https://openalex.org/W2988396473","https://openalex.org/W2989688045","https://openalex.org/W2989778648","https://openalex.org/W2990205821","https://openalex.org/W2998434318","https://openalex.org/W3001584168","https://openalex.org/W3034297219","https://openalex.org/W3034617042","https://openalex.org/W3034798428","https://openalex.org/W3035511673","https://openalex.org/W3035571898","https://openalex.org/W3035672751","https://openalex.org/W3106773277","https://openalex.org/W3108519869","https://openalex.org/W3123635396","https://openalex.org/W3127756064","https://openalex.org/W3180327660","https://openalex.org/W6623108133","https://openalex.org/W6631190155","https://openalex.org/W6639102338","https://openalex.org/W6639824700","https://openalex.org/W6679027886","https://openalex.org/W6720898849","https://openalex.org/W6754033419","https://openalex.org/W6759215614","https://openalex.org/W6765999096"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2012200063","https://openalex.org/W2965594636"],"abstract_inverted_index":{"Template-based":[0],"discriminative":[1,35],"trackers":[2,121,136],"are":[3,14],"currently":[4],"the":[5,44,76,98,113,123,134,138,147],"dominant":[6],"tracking":[7,19,49,91,126],"paradigm":[8],"due":[9],"to":[10,16,67,82,133],"their":[11,29],"robustness,":[12],"but":[13],"restricted":[15],"bounding":[17],"box":[18],"and":[20,50,100,107,129,142,157],"a":[21,34,68,79],"limited":[22],"range":[23,70],"of":[24,71],"transformation":[25],"models,":[26],"which":[27,42],"reduces":[28],"localization":[30],"accuracy.":[31],"We":[32],"propose":[33],"single-shot":[36,55],"segmentation":[37,111,149,155,165],"tracker":[38,150],"-":[39],"D3S":[40,116,144],"<sub>2</sub>,":[41],"narrows":[43],"gap":[45],"between":[46],"visual":[47],"object":[48,52,81,99,154,164],"video":[51,153,163],"segmentation.":[53,88],"A":[54],"network":[56],"applies":[57],"two":[58],"target":[59,87],"models":[60],"with":[61,161],"complementary":[62],"geometric":[63],"properties,":[64],"one":[65],"invariant":[66],"broad":[69],"transformations,":[72],"including":[73],"non-rigid":[74],"deformations,":[75],"other":[77],"assuming":[78],"rigid":[80],"simultaneously":[83],"achieve":[84],"robust":[85],"online":[86],"The":[89],"overall":[90],"reliability":[92],"is":[93],"further":[94],"increased":[95],"by":[96],"decoupling":[97],"feature":[101],"scale":[102],"estimation.":[103],"Without":[104],"per-dataset":[105],"finetuning,":[106],"trained":[108],"only":[109],"for":[110],"as":[112],"primary":[114],"output,":[115],"<sub>2</sub>":[117,145],"outperforms":[118,146],"all":[119],"published":[120],"on":[122,137,152,159],"recent":[124],"short-term":[125],"benchmark":[127],"VOT2020":[128],"performs":[130,158],"very":[131],"close":[132],"state-of-the-art":[135],"GOT-10k,":[139],"TrackingNet,":[140],"OTB100":[141],"LaSoT.":[143],"leading":[148],"SiamMask":[151],"benchmarks":[156],"par":[160],"top":[162],"algorithms.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}