乐胖代购免代理版

{"id":"https://openalex.org/W3155754834","doi":"https://doi.org/10.1145/3407090","title":"Affinity Derivation for Accurate Instance Segmentation","display_name":"Affinity Derivation for Accurate Instance Segmentation","publication_year":2021,"publication_date":"2021-02-28","ids":{"openalex":"https://openalex.org/W3155754834","doi":"https://doi.org/10.1145/3407090","mag":"3155754834"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3407090","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,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","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/A5101677603","display_name":"Yiding Liu","orcid":"https://orcid.org/0000-0002-1520-1441"},"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":"Yiding Liu","raw_affiliation_strings":["University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077464388","display_name":"Siyu Yang","orcid":"https://orcid.org/0000-0003-3451-3720"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Yang","raw_affiliation_strings":["Airbnb Information Technology (Beijing) Co., Ltd., China"],"affiliations":[{"raw_affiliation_string":"Airbnb Information Technology (Beijing) Co., Ltd., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781451","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-5635-2916"},"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, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, 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"},"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 and Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China and Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727196","display_name":"Jizheng Xu","orcid":"https://orcid.org/0000-0002-5456-0367"},"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":"Jizheng Xu","raw_affiliation_strings":["Microsoft Research, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078141810","display_name":"Houqiang Li","orcid":"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 and Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China and Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100756584","display_name":"Yan Lu","orcid":"https://orcid.org/0000-0001-5383-6424"},"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, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.324,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.543126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":73,"max":76},"biblio":{"volume":"17","issue":"1","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Image Feature Retrieval and Recognition Techniques","score":0.9995,"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/T10627","display_name":"Image Feature Retrieval and Recognition Techniques","score":0.9995,"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":"Deep Learning in Computer Vision and Image Recognition","score":0.9995,"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/T10052","display_name":"Image Segmentation Techniques","score":0.9954,"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/image-segmentation","display_name":"Image Segmentation","score":0.580325},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature Matching","score":0.560209},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.52076596},{"id":"https://openalex.org/keywords/object-recognition","display_name":"Object Recognition","score":0.512875},{"id":"https://openalex.org/keywords/image-recognition","display_name":"Image Recognition","score":0.511733},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object Detection","score":0.50792}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.78804433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.651292},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.633515},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5554668},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.52076596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5102298},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.47906646},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45760795},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42303783},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34605664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3289937},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19183135},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.09101075}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3407090","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,"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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.78,"id":"https://metadata.un.org/sdg/11"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61836011, 61822208, and 61632019"},{"funder":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","award_id":"2018497"}],"datasets":[],"versions":[],"referenced_works_count":37,"referenced_works":["https://openalex.org/W1507506748","https://openalex.org/W1923115158","https://openalex.org/W1948751323","https://openalex.org/W2117539524","https://openalex.org/W2144794286","https://openalex.org/W2147800946","https://openalex.org/W2307770531","https://openalex.org/W2317851288","https://openalex.org/W2341555367","https://openalex.org/W2395611524","https://openalex.org/W2407521645","https://openalex.org/W2412782625","https://openalex.org/W2473415337","https://openalex.org/W2605482930","https://openalex.org/W2607008612","https://openalex.org/W2608858501","https://openalex.org/W2769312834","https://openalex.org/W2798380924","https://openalex.org/W2894651257","https://openalex.org/W2902978875","https://openalex.org/W2953236957","https://openalex.org/W2962758679","https://openalex.org/W2963013250","https://openalex.org/W2963455537","https://openalex.org/W2963775509","https://openalex.org/W2963785012","https://openalex.org/W2963857746","https://openalex.org/W2964309882","https://openalex.org/W2965182628","https://openalex.org/W2981537222","https://openalex.org/W2982161360","https://openalex.org/W3023742835","https://openalex.org/W421393966","https://openalex.org/W4238416801","https://openalex.org/W4245551996","https://openalex.org/W4297683907","https://openalex.org/W639708223"],"related_works":["https://openalex.org/W4234886518","https://openalex.org/W3124036233","https://openalex.org/W2759366996","https://openalex.org/W2486541857","https://openalex.org/W2389591058","https://openalex.org/W2382112581","https://openalex.org/W2372661603","https://openalex.org/W2354081742","https://openalex.org/W2108840191","https://openalex.org/W1785572788"],"abstract_inverted_index":{"Affinity,":[0],"which":[1,134],"represents":[2],"whether":[3],"two":[4,36],"pixels":[5,76],"belong":[6],"to":[7,15,74,90,155,168],"a":[8,67],"same":[9],"instance,":[10],"is":[11,84,153],"an":[12,25,87,144],"equivalent":[13],"representation":[14],"the":[16,29,47,82,92,126,137,156,178,186],"instance":[17,37,97,131,171],"segmentation":[18,38,132,172],"labels.":[19],"Conventional":[20],"works":[21],"do":[22],"not":[23],"make":[24],"explicit":[26],"exploration":[27],"on":[28,41,193],"affinity.":[30],"In":[31],"this":[32],"article,":[33],"we":[34,57,102,123],"present":[35],"schemes":[39,164],"based":[40],"pixel":[42,59],"affinity":[43,50,60,83,107,111,138],"information":[44,89],"and":[45,64,109,147,185],"show":[46,161],"effectiveness":[48],"of":[49,128],"in":[51,95,115],"both":[52,192],"aspects.":[53],"For":[54,99],"proposal-free":[55,96,180],"method,":[56],"predict":[58],"for":[61],"each":[62],"image":[63],"then":[65],"propose":[66],"simple":[68],"yet":[69],"effective":[70],"graph":[71],"merge":[72],"algorithm":[73],"cluster":[75],"into":[77],"instances.":[78],"It":[79],"shows":[80,135],"that":[81,136,162],"powerful":[85],"as":[86,112,143],"instance-relevant":[88],"guide":[91],"clustering":[93],"procedure":[94],"segmentation.":[98],"proposal-based":[100,130,187],"methods,":[101,133],"extend":[103],"conventional":[104],"framework":[105],"with":[106,149],"head":[108],"introduce":[110],"attached":[113],"supervision":[114],"training":[116,148,157,176],"phase.":[117],"Without":[118],"any":[119],"additional":[120],"inference":[121],"cost,":[122],"can":[124,139],"improve":[125],"performance":[127,167],"existing":[129],"also":[140],"be":[141],"applied":[142],"auxiliary":[145],"loss":[146,152],"such":[150],"extra":[151],"beneficial":[154],"progress.":[158],"Experimental":[159],"results":[160],"our":[163],"achieve":[165],"comparable":[166],"other":[169],"state-of-the-art":[170],"methods.":[173],"With":[174],"Cityscapes":[175],"data,":[177],"proposed":[179],"method":[181,188],"achieves":[182],"28.8":[183],"AP":[184,191],"gets":[189],"27.2":[190],"test":[194],"sets.":[195]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3155754834","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2024-11-21T05:33:46.211104","created_date":"2021-04-26"}