{"id":"https://openalex.org/W3047032303","doi":"https://doi.org/10.1109/tpami.2020.3014297","title":"YOLACT++ Better Real-Time Instance Segmentation","display_name":"YOLACT++ Better Real-Time Instance Segmentation","publication_year":2020,"publication_date":"2020-08-05","ids":{"openalex":"https://openalex.org/W3047032303","doi":"https://doi.org/10.1109/tpami.2020.3014297","mag":"3047032303","pmid":"https://pubmed.ncbi.nlm.nih.gov/32755851"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2020.3014297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.3014297","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":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1912.06218","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063326998","display_name":"Daniel Bolya","orcid":"https://orcid.org/0000-0003-0223-3599"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel Bolya","raw_affiliation_strings":["College of Computing, Georgia Institute of Technology, Atlanta, GA, USA","[College of Computing, Georgia Institute of Technology, 1372 Atlanta, Georgia United States (e-mail: dbolya@gatech.edu)]"],"affiliations":[{"raw_affiliation_string":"College of Computing, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"[College of Computing, Georgia Institute of Technology, 1372 Atlanta, Georgia United States (e-mail: dbolya@gatech.edu)]","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008978321","display_name":"Chong Zhou","orcid":"https://orcid.org/0000-0002-9776-7739"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chong Zhou","raw_affiliation_strings":["Department of Computer Science, University of California, Davis, Davis, CA, USA","[Computer Science, University of California Davis, 8789 Davis, California United States (e-mail: cczhou@ucdavis.edu)]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"[Computer Science, University of California Davis, 8789 Davis, California United States (e-mail: cczhou@ucdavis.edu)]","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064761222","display_name":"Fanyi Xiao","orcid":"https://orcid.org/0000-0002-9839-1139"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fanyi Xiao","raw_affiliation_strings":["Department of Computer Science, University of California, Davis, Davis, CA, USA","[Computer Science, University of California Davis, 8789 Davis, California United States (e-mail: fyxiao@ucdavis.edu)]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"[Computer Science, University of California Davis, 8789 Davis, California United States (e-mail: fyxiao@ucdavis.edu)]","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072079475","display_name":"Yong Jae Lee","orcid":"https://orcid.org/0000-0001-9863-1270"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Jae Lee","raw_affiliation_strings":["Department of Computer Science, University of California, Davis, Davis, CA, USA","[Computer Science, University of California Davis, 8789 Davis, California United States (e-mail: yongjaelee@ucdavis.edu)]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"[Computer Science, University of California Davis, 8789 Davis, California United States (e-mail: yongjaelee@ucdavis.edu)]","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063326998"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":31.7993,"has_fulltext":false,"cited_by_count":531,"citation_normalized_percentile":{"value":0.99827592,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"44","issue":"2","first_page":"1108","last_page":"1121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.998199999332428,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.998199999332428,"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":0.9951000213623047,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.824259877204895},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6862139701843262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5683039426803589},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44626468420028687},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.439690500497818},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4263598322868347},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.4116131365299225},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3777294158935547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.824259877204895},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6862139701843262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5683039426803589},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44626468420028687},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.439690500497818},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4263598322868347},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.4116131365299225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3777294158935547},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2020.3014297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.3014297","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:32755851","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32755851","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},{"id":"pmh:oai:arXiv.org:1912.06218","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.06218","pdf_url":"https://arxiv.org/pdf/1912.06218","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1912.06218","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.06218","pdf_url":"https://arxiv.org/pdf/1912.06218","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":[],"awards":[{"id":"https://openalex.org/G3108277118","display_name":null,"funder_award_id":"IIS-1751206","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5812733845","display_name":null,"funder_award_id":"IIS-1812850","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1484228140","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W1970829863","https://openalex.org/W2027922120","https://openalex.org/W2031489346","https://openalex.org/W2082627290","https://openalex.org/W2108598243","https://openalex.org/W2121058967","https://openalex.org/W2131846894","https://openalex.org/W2134789674","https://openalex.org/W2144794286","https://openalex.org/W2150066425","https://openalex.org/W2160225842","https://openalex.org/W2161106546","https://openalex.org/W2194775991","https://openalex.org/W2216125271","https://openalex.org/W2317851288","https://openalex.org/W2340897893","https://openalex.org/W2407521645","https://openalex.org/W2419448466","https://openalex.org/W2555182955","https://openalex.org/W2555751471","https://openalex.org/W2556893918","https://openalex.org/W2557889580","https://openalex.org/W2558156561","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2601564443","https://openalex.org/W2605161420","https://openalex.org/W2608858501","https://openalex.org/W2613718673","https://openalex.org/W2743473392","https://openalex.org/W2744404335","https://openalex.org/W2749895778","https://openalex.org/W2796347433","https://openalex.org/W2809110088","https://openalex.org/W2907965334","https://openalex.org/W2909948317","https://openalex.org/W2920326761","https://openalex.org/W2962747122","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963321359","https://openalex.org/W2963351448","https://openalex.org/W2963455537","https://openalex.org/W2963516811","https://openalex.org/W2963775509","https://openalex.org/W2963857746","https://openalex.org/W2963881378","https://openalex.org/W2964217532","https://openalex.org/W2964236837","https://openalex.org/W2966926453","https://openalex.org/W2986661129","https://openalex.org/W2993182889","https://openalex.org/W3005278309","https://openalex.org/W3034826836","https://openalex.org/W3106250896","https://openalex.org/W3161353862","https://openalex.org/W4293406525","https://openalex.org/W4293584584","https://openalex.org/W6620707391","https://openalex.org/W6714138976","https://openalex.org/W6717372056","https://openalex.org/W6730410022","https://openalex.org/W6736147098","https://openalex.org/W6750227808","https://openalex.org/W6757855356","https://openalex.org/W6757911768"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W4328132048","https://openalex.org/W1969901537","https://openalex.org/W2015462925"],"abstract_inverted_index":{"We":[0,45,83,132],"present":[1],"a":[2,21,58,125,137,149,175],"simple,":[3],"fully-convolutional":[4],"model":[5,183],"for":[6,103,143],"real-time":[7],"(":[8],"fps)":[9],"instance":[10,50,72],"segmentation":[11,51],"that":[12,85,146],"achieves":[13],"competitive":[14],"results":[15],"on":[16,20,41,91,121,188],"MS":[17,189],"COCO":[18,190],"evaluated":[19],"single":[22],"Titan":[23],"Xp,":[24],"which":[25,194],"is":[26,195],"significantly":[27],"faster":[28,141],"than":[29],"any":[30],"previous":[31],"state-of-the-art":[32,200],"approach.":[33],"Moreover,":[34],"we":[35,70,106],"obtain":[36],"this":[37,47,87,93],"result":[38],"after":[39],"training":[40],"only":[42,147],"one":[43],"GPU.":[44],"accomplish":[46],"by":[48,74,154],"breaking":[49],"into":[52,158],"two":[53],"parallel":[54],"subtasks:":[55],"(1)":[56],"generating":[57],"set":[59],"of":[60,111],"prototype":[61],"masks":[62,73,98],"and":[63,99,114,170,173],"(2)":[64],"predicting":[65],"per-instance":[66],"mask":[67,81,178],"coefficients.":[68,82],"Then":[69],"produce":[71],"linearly":[75],"combining":[76],"the":[77,80,108,159,163,199],"prototypes":[78,113],"with":[79,166],"find":[84],"because":[86],"process":[88],"doesn't":[89],"depend":[90],"repooling,":[92],"approach":[94],"produces":[95],"very":[96],"high-quality":[97],"exhibits":[100],"temporal":[101],"stability":[102],"free.":[104],"Furthermore,":[105],"analyze":[107],"emergent":[109],"behavior":[110],"our":[112,181],"show":[115],"they":[116],"learn":[117],"to":[118,198],"localize":[119],"instances":[120],"their":[122],"own":[123],"in":[124],"translation":[126],"variant":[127],"manner,":[128],"despite":[129],"being":[130],"fully-convolutional.":[131],"also":[133],"propose":[134],"Fast":[135],"NMS,":[136],"drop-in":[138],"12":[139],"ms":[140],"replacement":[142],"standard":[144],"NMS":[145],"has":[148],"marginal":[150],"performance":[151],"penalty.":[152],"Finally,":[153],"incorporating":[155],"deformable":[156],"convolutions":[157],"backbone":[160],"network,":[161],"optimizing":[162],"prediction":[164],"head":[165],"better":[167],"anchor":[168],"scales":[169],"aspect":[171],"ratios,":[172],"adding":[174],"novel":[176],"fast":[177],"re-scoring":[179],"branch,":[180],"YOLACT++":[182],"can":[184],"achieve":[185],"34.1":[186],"mAP":[187],"at":[191,205],"33.5":[192],"fps,":[193],"fairly":[196],"close":[197],"approaches":[201],"while":[202],"still":[203],"running":[204],"real-time.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":94},{"year":2024,"cited_by_count":95},{"year":2023,"cited_by_count":132},{"year":2022,"cited_by_count":96},{"year":2021,"cited_by_count":82},{"year":2020,"cited_by_count":14}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
