{"id":"https://openalex.org/W2964236837","doi":"https://doi.org/10.1109/cvpr.2018.00422","title":"MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features","display_name":"MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2964236837","doi":"https://doi.org/10.1109/cvpr.2018.00422","mag":"2964236837"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2018.00422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2018.00422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103273466","display_name":"Liang-Chieh Chen","orcid":"https://orcid.org/0000-0001-8564-374X"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang-Chieh Chen","raw_affiliation_strings":["GOOGLE INC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GOOGLE INC","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071563379","display_name":"Alexander Hermans","orcid":"https://orcid.org/0000-0003-2127-0782"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Hermans","raw_affiliation_strings":["RWTH Aachen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RWTH Aachen University","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034294456","display_name":"George Papandreou","orcid":"https://orcid.org/0000-0002-1468-2976"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Papandreou","raw_affiliation_strings":["GOOGLE INC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GOOGLE INC","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048629871","display_name":"Florian Schroff","orcid":"https://orcid.org/0000-0003-0570-8967"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Florian Schroff","raw_affiliation_strings":["GOOGLE INC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GOOGLE INC","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010733532","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0001-7689-3405"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5030402556","display_name":"Hartwig Adam","orcid":"https://orcid.org/0000-0003-1258-4341"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hartwig Adam","raw_affiliation_strings":["GOOGLE INC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GOOGLE INC","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":403,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4013","last_page":"4022"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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":0.9984999895095825,"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":0.7980257272720337},{"id":"https://openalex.org/keywords/refining","display_name":"Refining (metallurgy)","score":0.7488017082214355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7168777585029602},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6491343379020691},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5839391946792603},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5500527620315552},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5093082189559937},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4810526669025421},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4470788240432739},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.320521742105484},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0602184534072876}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7980257272720337},{"id":"https://openalex.org/C60044698","wikidata":"https://www.wikidata.org/wiki/Q1283324","display_name":"Refining (metallurgy)","level":2,"score":0.7488017082214355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7168777585029602},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6491343379020691},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5839391946792603},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5500527620315552},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5093082189559937},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4810526669025421},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4470788240432739},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.320521742105484},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0602184534072876},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2018.00422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2018.00422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.rwth-aachen.de:755817","is_oa":false,"landing_page_url":"http://publications.rwth-aachen.de/record/755817","pdf_url":null,"source":{"id":"https://openalex.org/S4306401033","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Piscataway, NJ : IEEE 4013-4022 (2018). doi:10.1109/CVPR.2018.00422","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":118,"referenced_works":["https://openalex.org/W260801291","https://openalex.org/W639708223","https://openalex.org/W809122546","https://openalex.org/W1507506748","https://openalex.org/W1529410181","https://openalex.org/W1536680647","https://openalex.org/W1594098193","https://openalex.org/W1610060839","https://openalex.org/W1821462560","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W1905829557","https://openalex.org/W1923115158","https://openalex.org/W1923697677","https://openalex.org/W1927486677","https://openalex.org/W1932624639","https://openalex.org/W1948751323","https://openalex.org/W1949049686","https://openalex.org/W1952506714","https://openalex.org/W1964772475","https://openalex.org/W1991367009","https://openalex.org/W2046382188","https://openalex.org/W2068730032","https://openalex.org/W2092985495","https://openalex.org/W2102605133","https://openalex.org/W2112796928","https://openalex.org/W2124592697","https://openalex.org/W2161236525","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2216125271","https://openalex.org/W2223259665","https://openalex.org/W2271840356","https://openalex.org/W2288122362","https://openalex.org/W2317851288","https://openalex.org/W2322480645","https://openalex.org/W2341555367","https://openalex.org/W2406270520","https://openalex.org/W2407521645","https://openalex.org/W2412782625","https://openalex.org/W2473415337","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2552414813","https://openalex.org/W2555182955","https://openalex.org/W2555751471","https://openalex.org/W2557310260","https://openalex.org/W2557728737","https://openalex.org/W2557889580","https://openalex.org/W2558156561","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2572745118","https://openalex.org/W2592939477","https://openalex.org/W2601564443","https://openalex.org/W2605161420","https://openalex.org/W2605482930","https://openalex.org/W2608858501","https://openalex.org/W2613718673","https://openalex.org/W2630837129","https://openalex.org/W2744404335","https://openalex.org/W2777357193","https://openalex.org/W2777737607","https://openalex.org/W2777795072","https://openalex.org/W2950800384","https://openalex.org/W2952147788","https://openalex.org/W2952793010","https://openalex.org/W2952819818","https://openalex.org/W2962676885","https://openalex.org/W2962843773","https://openalex.org/W2962891704","https://openalex.org/W2963037989","https://openalex.org/W2963108253","https://openalex.org/W2963150697","https://openalex.org/W2963455537","https://openalex.org/W2963516811","https://openalex.org/W2963542991","https://openalex.org/W2963563573","https://openalex.org/W2963659353","https://openalex.org/W2963753570","https://openalex.org/W2963971305","https://openalex.org/W2964211168","https://openalex.org/W2964297960","https://openalex.org/W2964350391","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6622964371","https://openalex.org/W6629368666","https://openalex.org/W6630336748","https://openalex.org/W6631611276","https://openalex.org/W6635419406","https://openalex.org/W6638523607","https://openalex.org/W6639102338","https://openalex.org/W6640295612","https://openalex.org/W6640759395","https://openalex.org/W6640835329","https://openalex.org/W6683607639","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6694260854","https://openalex.org/W6694517276","https://openalex.org/W6699915822","https://openalex.org/W6700594562","https://openalex.org/W6703941868","https://openalex.org/W6704230781","https://openalex.org/W6704977611","https://openalex.org/W6713983476","https://openalex.org/W6714138976","https://openalex.org/W6715287400","https://openalex.org/W6728184133","https://openalex.org/W6730038461","https://openalex.org/W6730410022","https://openalex.org/W6730411969","https://openalex.org/W6731615698","https://openalex.org/W6734061528","https://openalex.org/W6736147098","https://openalex.org/W6739696289","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2392526918","https://openalex.org/W2362540361","https://openalex.org/W2019560916","https://openalex.org/W2361983698","https://openalex.org/W2347697528","https://openalex.org/W2354123794","https://openalex.org/W2372508235","https://openalex.org/W3034732808","https://openalex.org/W1522196789","https://openalex.org/W4292830139"],"abstract_inverted_index":{"In":[0],"this":[1,21],"work,":[2],"we":[3,23,108],"tackle":[4],"the":[5,10,44,48,75,88,103,110,133],"problem":[6],"of":[7,12,43,54,60,81,102,112],"instance":[8,135],"segmentation,":[9,36],"task":[11],"simultaneously":[13],"solving":[14],"object":[15,46,55],"detection":[16,121],"and":[17,37,69,120,125,138],"semantic":[18,35,68,83,105],"segmentation.":[19],"Towards":[20],"goal,":[22],"present":[24],"a":[25],"model,":[26],"called":[27],"MaskLab,":[28],"which":[29],"produces":[30],"three":[31],"outputs:":[32],"box":[33],"detection,":[34],"direction":[38,70,89,94],"prediction.":[39,71],"Building":[40],"on":[41,132],"top":[42],"Faster-RCNN":[45],"detector,":[47],"predicted":[49],"boxes":[50],"provide":[51],"accurate":[52],"localization":[53],"instances.":[56],"Within":[57],"each":[58,92],"region":[59],"interest,":[61],"MaskLab":[62],"performs":[63],"foreground/background":[64],"segmentation":[65,73,119,136],"by":[66],"combining":[67],"Semantic":[72],"assists":[74],"model":[76,129],"in":[77],"distinguishing":[78],"between":[79],"objects":[80],"different":[82],"classes":[84],"including":[85],"background,":[86],"while":[87],"prediction,":[90],"estimating":[91],"pixel's":[93],"towards":[95],"its":[96],"corresponding":[97],"center,":[98],"allows":[99],"separating":[100],"instances":[101],"same":[104],"class.":[106],"Moreover,":[107],"explore":[109],"effect":[111],"incorporating":[113],"recent":[114],"successful":[115],"methods":[116],"from":[117],"both":[118],"(i.e.":[122],"atrous":[123],"convolution":[124],"hypercolumn).":[126],"Our":[127],"proposed":[128],"is":[130],"evaluated":[131],"COCO":[134],"benchmark":[137],"shows":[139],"comparable":[140],"performance":[141],"with":[142],"other":[143],"state-of-art":[144],"models.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":51},{"year":2022,"cited_by_count":47},{"year":2021,"cited_by_count":96},{"year":2020,"cited_by_count":77},{"year":2019,"cited_by_count":64},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
