{"id":"https://openalex.org/W3048630682","doi":"https://doi.org/10.1145/3387926","title":"Single-stage Instance Segmentation","display_name":"Single-stage Instance Segmentation","publication_year":2020,"publication_date":"2020-07-05","ids":{"openalex":"https://openalex.org/W3048630682","doi":"https://doi.org/10.1145/3387926","mag":"3048630682"},"language":"en","primary_location":{"id":"doi:10.1145/3387926","doi":"https://doi.org/10.1145/3387926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3387926","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-2","ki-jl-2","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5101904898","display_name":"Feng Lin","orcid":"https://orcid.org/0000-0001-8541-7400","observed_orcids":["https://orcid.org/0000-0001-8541-7400"]},"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":"Feng Lin","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781451","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-5635-2916","observed_orcids":["https://orcid.org/0000-0002-5635-2916","https://orcid.org/0000-0002-2613-5451"]},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046805800","display_name":"Wengang Zhou","orcid":"https://orcid.org/0000-0003-1690-9836","observed_orcids":["https://orcid.org/0000-0003-1690-9836"]},"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":"Wengang Zhou","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078141810","display_name":"Houqiang Li","orcid":"https://orcid.org/0000-0003-2188-3028","observed_orcids":["https://orcid.org/0000-0003-2188-3028"]},"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":"Houqiang Li","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100641095","display_name":"Yan Lu","orcid":"https://orcid.org/0000-0003-0043-4012","observed_orcids":["https://orcid.org/0000-0003-0043-4012"]},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Lu","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.168,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.41682256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":96},"biblio":{"volume":"16","issue":"3","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.00039999998989515007,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.0003000000142492354,"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/instance-segmentation","display_name":"instance segmentation","score":0.824999988079071},{"id":"https://openalex.org/keywords/one-stage-object-detection","display_name":"one-stage object detection","score":0.871999979019165},{"id":"https://openalex.org/keywords/semantic-segmentation","display_name":"semantic segmentation","score":0.7440000176429749},{"id":"https://openalex.org/keywords/bounding-box-detection","display_name":"bounding box detection","score":0.7829999923706055},{"id":"https://openalex.org/keywords/post-processing","display_name":"post-processing","score":0.8640000224113464},{"id":"https://openalex.org/keywords/coco","display_name":"COCO","score":0.6959999799728394},{"id":"https://openalex.org/keywords/cityscape","display_name":"cityscape","score":1.0}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7822000980377197},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7764841318130493},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7599100470542908},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7414530515670776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6738535165786743},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6315345764160156},{"id":"https://openalex.org/C3020376581","wikidata":"https://www.wikidata.org/wiki/Q16866784","display_name":"Single stage","level":2,"score":0.5784337520599365},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5706664323806763},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5621593594551086},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5571138262748718},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5336772799491882},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5025420188903809},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46835818886756897},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4671567976474762},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.44959086179733276},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44436392188072205},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2992117702960968},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3387926","doi":"https://doi.org/10.1145/3387926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3387926","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-2","ki-jl-2","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2262853887","display_name":null,"funder_award_id":"61836011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4052041763","display_name":null,"funder_award_id":"2018497","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G603012312","display_name":null,"funder_award_id":"61822208, and 61632019","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"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1507506748","https://openalex.org/W1745334888","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1910657905","https://openalex.org/W1982387099","https://openalex.org/W2031489346","https://openalex.org/W2117539524","https://openalex.org/W2175975598","https://openalex.org/W2179352600","https://openalex.org/W2194775991","https://openalex.org/W2216125271","https://openalex.org/W2230807910","https://openalex.org/W2288122362","https://openalex.org/W2322480645","https://openalex.org/W2340897893","https://openalex.org/W2341555367","https://openalex.org/W2406270520","https://openalex.org/W2519036036","https://openalex.org/W2549139847","https://openalex.org/W2555182955","https://openalex.org/W2557728737","https://openalex.org/W2557889580","https://openalex.org/W2558156561","https://openalex.org/W2560835477","https://openalex.org/W2572745118","https://openalex.org/W2579985080","https://openalex.org/W2592939477","https://openalex.org/W2601564443","https://openalex.org/W2605161420","https://openalex.org/W2605482930","https://openalex.org/W2606492274","https://openalex.org/W2612445135","https://openalex.org/W2777795072","https://openalex.org/W2796347433","https://openalex.org/W2883780447","https://openalex.org/W2894651257","https://openalex.org/W2895065325","https://openalex.org/W2928502868","https://openalex.org/W2949848774","https://openalex.org/W2963163009","https://openalex.org/W2963351448","https://openalex.org/W2963455537","https://openalex.org/W2963604034","https://openalex.org/W2963785012","https://openalex.org/W2963857746","https://openalex.org/W2963915286","https://openalex.org/W2963921921","https://openalex.org/W2964211168","https://openalex.org/W2964236837","https://openalex.org/W2964309882","https://openalex.org/W2976982891","https://openalex.org/W2981537222","https://openalex.org/W2982770724","https://openalex.org/W2990361805","https://openalex.org/W3012573144","https://openalex.org/W3034826836","https://openalex.org/W3142239405"],"related_works":["https://openalex.org/W3034428102","https://openalex.org/W2981577079","https://openalex.org/W2940183409","https://openalex.org/W3199169645","https://openalex.org/W2992058632","https://openalex.org/W3012291630","https://openalex.org/W4402980884","https://openalex.org/W3034549805","https://openalex.org/W2946105701","https://openalex.org/W3110109236"],"abstract_inverted_index":{"Albeit":[0],"the":[1,19,43,59,66,71,79,89,92,103,119,126,148,162],"highest":[2],"accuracy":[3],"of":[4,63,91,121],"object":[5,21,51],"detection":[6,52],"is":[7,102],"generally":[8],"acquired":[9],"by":[10,34],"multi-stage":[11],"detectors,":[12],"like":[13],"R-CNN":[14],"and":[15,30,70,125,143,157],"its":[16],"extension":[17],"approaches,":[18],"single-stage":[20,39,50,111,134],"detectors":[22],"also":[23],"achieve":[24,139],"remarkable":[25],"performance":[26],"with":[27,88,152],"faster":[28],"execution":[29],"higher":[31],"scalability.":[32],"Inspired":[33],"this,":[35],"we":[36,77,99],"propose":[37],"a":[38,49,84,110,133],"framework":[40,128],"to":[41,106],"tackle":[42],"instance":[44,81,135],"segmentation":[45,68,136],"task.":[46],"Building":[47],"on":[48,113,147,161],"network":[53],"in":[54,109],"hand,":[55],"our":[56,122],"model":[57],"outputs":[58,94],"detected":[60],"bounding":[61],"box":[62,141],"each":[64],"instance,":[65],"semantic":[67],"result,":[69],"pixel":[72],"affinity":[73],"simultaneously.":[74],"After":[75],"that,":[76],"generate":[78],"final":[80],"masks":[82],"via":[83],"fast":[85],"post-processing":[86,123],"method":[87],"help":[90],"three":[93],"above.":[95],"As":[96],"far":[97],"as":[98,132],"know,":[100],"it":[101],"first":[104],"attempt":[105],"segment":[107],"instances":[108],"pipeline":[112],"challenging":[114],"datasets.":[115],"Extensive":[116],"experiments":[117],"demonstrate":[118],"efficiency":[120],"method,":[124],"proposed":[127],"obtains":[129],"competitive":[130],"results":[131],"method.":[137],"We":[138],"32.5":[140],"AP":[142,146,160],"26.0":[144],"mask":[145,159],"COCO":[149],"validation":[150],"set":[151],"500":[153],"pixels":[154],"input":[155],"scale":[156],"22.9":[158],"Cityscapes":[163],"test":[164],"set.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-08-18T00:00:00"}
