{"id":"https://openalex.org/W2989778648","doi":"https://doi.org/10.1109/cvpr42600.2020.00716","title":"D3S \u2013 A Discriminative Single Shot Segmentation Tracker","display_name":"D3S \u2013 A Discriminative Single Shot Segmentation Tracker","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W2989778648","doi":"https://doi.org/10.1109/cvpr42600.2020.00716","mag":"2989778648"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr42600.2020.00716","doi":"https://doi.org/10.1109/cvpr42600.2020.00716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr42600.2020.00716","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.08862","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079203706","display_name":"Alan Luke\u017ei\u010d","orcid":"https://orcid.org/0000-0002-6316-2707","observed_orcids":["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":false,"raw_author_name":"Alan Lukezic","raw_affiliation_strings":["Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia","University of  Ljubljana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]},{"raw_affiliation_string":"University of  Ljubljana","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","observed_orcids":["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":["Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Czech Technical University in Prague, 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","observed_orcids":["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, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, University of Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.5723,"has_fulltext":true,"cited_by_count":317,"citation_normalized_percentile":{"value":0.99290956,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"7131","last_page":"7140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9965999722480774,"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":0.9965999722480774,"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":0.0017000000225380063,"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":0.00039999998989515007,"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/visual-tracking","display_name":"visual object tracking","score":0.7670000195503235},{"id":"https://openalex.org/keywords/video-object-segmentation","display_name":"video object segmentation","score":0.9459999799728394},{"id":"https://openalex.org/keywords/template-based-tracking","display_name":"template-based tracking","score":0.7129999995231628},{"id":"https://openalex.org/keywords/non-rigid-deformation","display_name":"non-rigid deformation","score":0.7459999918937683},{"id":"https://openalex.org/keywords/rigid-object-tracking","display_name":"rigid object tracking","score":0.6899999976158142},{"id":"https://openalex.org/keywords/real-time-tracking","display_name":"real-time tracking","score":0.8569999933242798}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8395414352416992},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7995579242706299},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7873258590698242},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7278090119361877},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.697135329246521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6941652297973633},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6678656339645386},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6559033393859863},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.542402446269989},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4255518615245819},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4245501458644867},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.411479651927948},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.324821799993515},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2772785723209381},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11378562450408936},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cvpr42600.2020.00716","doi":"https://doi.org/10.1109/cvpr42600.2020.00716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr42600.2020.00716","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1911.08862","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.08862","pdf_url":"https://arxiv.org/pdf/1911.08862","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2989778648","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1911.08862","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1911.08862","doi":"https://doi.org/10.48550/arxiv.1911.08862","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1911.08862","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.08862","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.08862","pdf_url":"https://arxiv.org/pdf/1911.08862","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2611696602","display_name":"Robustne metode ra\u010dunalni\u0161kega vida za avtonomna robotska plovila (Slovene)","funder_award_id":"J2-8175","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"},{"id":"https://openalex.org/G3585717432","display_name":"Detection of inconsistencies in complex visual data using deep learning","funder_award_id":"J2-9433","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"},{"id":"https://openalex.org/G4835773550","display_name":"Solving inverse problems for the analysis of fast moving objects","funder_award_id":"GA18-05360S","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"},{"id":"https://openalex.org/G5913323370","display_name":null,"funder_award_id":"GA18-","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"},{"id":"https://openalex.org/G6830890538","display_name":null,"funder_award_id":"05360S","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"},{"id":"https://openalex.org/G7307763777","display_name":"Computer Vision","funder_award_id":"P2-0214","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"}],"funders":[{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"},{"id":"https://openalex.org/F4320322554","display_name":"Javna Agencija za Raziskovalno Dejavnost RS","ror":"https://ror.org/059bp8k51"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2989778648.pdf","grobid_xml":"https://content.openalex.org/works/W2989778648.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W818325216","https://openalex.org/W1522301498","https://openalex.org/W1857884451","https://openalex.org/W1901129140","https://openalex.org/W1904671147","https://openalex.org/W1964846093","https://openalex.org/W2023752928","https://openalex.org/W2044986361","https://openalex.org/W2119823327","https://openalex.org/W2124351162","https://openalex.org/W2130026429","https://openalex.org/W2132103241","https://openalex.org/W2154889144","https://openalex.org/W2158827467","https://openalex.org/W2188226927","https://openalex.org/W2322480645","https://openalex.org/W2340000481","https://openalex.org/W2380373457","https://openalex.org/W2408241409","https://openalex.org/W2415288898","https://openalex.org/W2470139095","https://openalex.org/W2470394683","https://openalex.org/W2513005088","https://openalex.org/W2518013266","https://openalex.org/W2552531400","https://openalex.org/W2557641257","https://openalex.org/W2558899534","https://openalex.org/W2605229288","https://openalex.org/W2724418412","https://openalex.org/W2794744029","https://openalex.org/W2797257757","https://openalex.org/W2799058067","https://openalex.org/W2799239273","https://openalex.org/W2886910176","https://openalex.org/W2889658408","https://openalex.org/W2890447039","https://openalex.org/W2898200825","https://openalex.org/W2901751835","https://openalex.org/W2902321499","https://openalex.org/W2913466142","https://openalex.org/W2915935370","https://openalex.org/W2916780012","https://openalex.org/W2916797271","https://openalex.org/W2917435394","https://openalex.org/W2937749627","https://openalex.org/W2955983623","https://openalex.org/W2962719749","https://openalex.org/W2962824803","https://openalex.org/W2962825871","https://openalex.org/W2962995953","https://openalex.org/W2963227409","https://openalex.org/W2963534981","https://openalex.org/W2963854930","https://openalex.org/W2964121744","https://openalex.org/W2964157492","https://openalex.org/W2989688045","https://openalex.org/W6679027886","https://openalex.org/W6703518758","https://openalex.org/W6759215614"],"related_works":["https://openalex.org/W4200433746","https://openalex.org/W3087007999","https://openalex.org/W3100855086","https://openalex.org/W3203857058","https://openalex.org/W2963227409","https://openalex.org/W4412024265","https://openalex.org/W3128601085","https://openalex.org/W7118173412","https://openalex.org/W3035077787","https://openalex.org/W4386554736"],"abstract_inverted_index":{"Template-based":[0],"discriminative":[1,35],"trackers":[2,105,118],"are":[3,14],"currently":[4],"the":[5,43,75,99,116,120,124],"dominant":[6],"tracking":[7,19,48],"paradigm":[8],"due":[9],"to":[10,16,66,81,115,151],"their":[11,29],"robustness,":[12],"but":[13],"restricted":[15],"bounding":[17],"box":[18],"and":[20,49,86,93,109,112,133],"a":[21,34,67,78],"limited":[22],"range":[23,69],"of":[24,70,147],"transformation":[25],"models,":[26],"which":[27,41],"reduces":[28],"localization":[30],"accuracy.":[31],"We":[32],"propose":[33],"single-shot":[36,54],"segmentation":[37,97,126,131,141],"tracker":[38,127],"-":[39],"D3S,":[40],"narrows":[42],"gap":[44],"between":[45],"visual":[46],"object":[47,51,80,140],"video":[50,130,139],"segmentation.":[52,89],"A":[53],"network":[55],"applies":[56],"two":[57],"target":[58,88],"models":[59],"with":[60,137],"complementary":[61],"geometric":[62],"properties,":[63],"one":[64],"invariant":[65],"broad":[68],"transformations,":[71],"including":[72],"non-rigid":[73],"deformations,":[74],"other":[76],"assuming":[77],"rigid":[79],"simultaneously":[82],"achieve":[83],"high":[84],"robustness":[85],"online":[87],"Without":[90],"per-dataset":[91],"finetuning":[92],"trained":[94],"only":[95],"for":[96],"as":[98],"primary":[100],"output,":[101],"D3S":[102,122],"outperforms":[103,123],"all":[104],"on":[106,119,129,135],"VOT2016,":[107],"VOT2018":[108],"GOT-10k":[110],"benchmarks":[111],"performs":[113,134],"close":[114,150],"state-of-the-art":[117],"TrackingNet.":[121],"leading":[125],"SiamMask":[128],"benchmark":[132],"par":[136],"top":[138],"algorithms,":[142],"while":[143],"running":[144],"an":[145],"order":[146],"magnitude":[148],"faster,":[149],"real-time.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":63},{"year":2023,"cited_by_count":74},{"year":2022,"cited_by_count":85},{"year":2021,"cited_by_count":53},{"year":2020,"cited_by_count":12}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-12-05T00:00:00"}