{"id":"https://openalex.org/W3186802005","doi":"https://doi.org/10.1109/tip.2021.3099366","title":"Global Aggregation Then Local Distribution for Scene Parsing","display_name":"Global Aggregation Then Local Distribution for Scene Parsing","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3186802005","doi":"https://doi.org/10.1109/tip.2021.3099366","mag":"3186802005","pmid":"https://pubmed.ncbi.nlm.nih.gov/34343090"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3099366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3099366","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","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/2107.13154","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089900108","display_name":"Xiangtai Li","orcid":"https://orcid.org/0000-0002-0550-8247"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangtai Li","raw_affiliation_strings":["Key Laboratory of Machine Perception, School of EECS, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, School of EECS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425448","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0001-7914-0679"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["School of Data Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Data Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045854934","display_name":"Guangliang Cheng","orcid":"https://orcid.org/0000-0002-1428-8848"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangliang Cheng","raw_affiliation_strings":["SenseTime, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SenseTime, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023035795","display_name":"Kuiyuan Yang","orcid":"https://orcid.org/0000-0003-3063-2925"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuiyuan Yang","raw_affiliation_strings":["DeepMotion, Beijing, China"],"affiliations":[{"raw_affiliation_string":"DeepMotion, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024097240","display_name":"Yunhai Tong","orcid":"https://orcid.org/0000-0001-8735-2516"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhai Tong","raw_affiliation_strings":["Key Laboratory of Machine Perception, School of EECS, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, School of EECS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028643592","display_name":"Xiatian Zhu","orcid":"https://orcid.org/0000-0002-9284-2955"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiatian Zhu","raw_affiliation_strings":["Centre for Vision Speech and Signal Processing, University of Surrey, Guildford, U.K"],"affiliations":[{"raw_affiliation_string":"Centre for Vision Speech and Signal Processing, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014436524","display_name":"Tao Xiang","orcid":"https://orcid.org/0000-0002-2530-1059"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tao Xiang","raw_affiliation_strings":["Centre for Vision Speech and Signal Processing, University of Surrey, Guildford, U.K"],"affiliations":[{"raw_affiliation_string":"Centre for Vision Speech and Signal Processing, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5089900108"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.0567,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.78970588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"6829","last_page":"6842"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7283574938774109},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.5909682512283325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5549020171165466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4923781156539917},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3325173854827881},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19313976168632507}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7283574938774109},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.5909682512283325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5549020171165466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4923781156539917},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3325173854827881},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19313976168632507},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2021.3099366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3099366","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:34343090","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34343090","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:2107.13154","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.13154","pdf_url":"https://arxiv.org/pdf/2107.13154","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:2107.13154","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.13154","pdf_url":"https://arxiv.org/pdf/2107.13154","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":[{"score":0.8299999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G644216735","display_name":null,"funder_award_id":"2020YFB2103402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":114,"referenced_works":["https://openalex.org/W1817277359","https://openalex.org/W1899185266","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1985690171","https://openalex.org/W2124592697","https://openalex.org/W2125215748","https://openalex.org/W2171943915","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2507296351","https://openalex.org/W2552900565","https://openalex.org/W2556967412","https://openalex.org/W2560023338","https://openalex.org/W2561196672","https://openalex.org/W2561585794","https://openalex.org/W2563705555","https://openalex.org/W2601564443","https://openalex.org/W2630837129","https://openalex.org/W2780664485","https://openalex.org/W2798791840","https://openalex.org/W2799166040","https://openalex.org/W2799213142","https://openalex.org/W2799217622","https://openalex.org/W2884585870","https://openalex.org/W2884822772","https://openalex.org/W2886934227","https://openalex.org/W2888340395","https://openalex.org/W2889814224","https://openalex.org/W2890779863","https://openalex.org/W2890782586","https://openalex.org/W2891778567","https://openalex.org/W2892220259","https://openalex.org/W2895340641","https://openalex.org/W2899002405","https://openalex.org/W2910628332","https://openalex.org/W2925552749","https://openalex.org/W2948080074","https://openalex.org/W2949341804","https://openalex.org/W2949846184","https://openalex.org/W2952787292","https://openalex.org/W2954054736","https://openalex.org/W2955058313","https://openalex.org/W2955813853","https://openalex.org/W2956648669","https://openalex.org/W2962815021","https://openalex.org/W2963091558","https://openalex.org/W2963107255","https://openalex.org/W2963136578","https://openalex.org/W2963176324","https://openalex.org/W2963266682","https://openalex.org/W2963318290","https://openalex.org/W2963319519","https://openalex.org/W2963403868","https://openalex.org/W2963516811","https://openalex.org/W2963599420","https://openalex.org/W2963727650","https://openalex.org/W2963815618","https://openalex.org/W2963840672","https://openalex.org/W2963917006","https://openalex.org/W2963996492","https://openalex.org/W2964091144","https://openalex.org/W2964217532","https://openalex.org/W2964254867","https://openalex.org/W2964309882","https://openalex.org/W2965391153","https://openalex.org/W2972321983","https://openalex.org/W2972579614","https://openalex.org/W2981689412","https://openalex.org/W2981899103","https://openalex.org/W2989684653","https://openalex.org/W2990032492","https://openalex.org/W2991062542","https://openalex.org/W2991471181","https://openalex.org/W2993235622","https://openalex.org/W2997564896","https://openalex.org/W2999725795","https://openalex.org/W3011765439","https://openalex.org/W3022478135","https://openalex.org/W3023001672","https://openalex.org/W3028227066","https://openalex.org/W3034345703","https://openalex.org/W3034502973","https://openalex.org/W3034681889","https://openalex.org/W3034930876","https://openalex.org/W3034958977","https://openalex.org/W3035526186","https://openalex.org/W3108925098","https://openalex.org/W3109301572","https://openalex.org/W3110440461","https://openalex.org/W4308909683","https://openalex.org/W4385245566","https://openalex.org/W6638480814","https://openalex.org/W6639824700","https://openalex.org/W6639927594","https://openalex.org/W6696085341","https://openalex.org/W6724670942","https://openalex.org/W6729983426","https://openalex.org/W6739696289","https://openalex.org/W6739901393","https://openalex.org/W6754309021","https://openalex.org/W6754416387","https://openalex.org/W6754879843","https://openalex.org/W6754899465","https://openalex.org/W6755002340","https://openalex.org/W6761021795","https://openalex.org/W6766663213","https://openalex.org/W6767153015","https://openalex.org/W6767688279","https://openalex.org/W6768371451","https://openalex.org/W6778525015","https://openalex.org/W6787152118"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Modelling":[0],"long-range":[1,47,93],"contextual":[2],"relationships":[3],"is":[4],"critical":[5],"for":[6,46,89,121],"pixel-wise":[7],"prediction":[8],"tasks":[9],"such":[10,24],"as":[11,138],"semantic":[12,75,148,175],"segmentation.":[13],"However,":[14],"convolutional":[15],"neural":[16],"networks":[17],"(CNNs)":[18],"are":[19,44,69,190],"inherently":[20],"limited":[21],"to":[22,27,57,84,153,166,194],"model":[23],"dependencies":[25],"due":[26],"the":[28,58,74,86,91,113,154,171],"naive":[29],"structure":[30,48],"in":[31,73,99],"its":[32,158],"building":[33],"modules":[34],"(e.g.,":[35,63],"local":[36,87,100,108,119],"convolution":[37],"kernel).":[38],"While":[39],"recent":[40],"global":[41,117,127],"aggregation":[42,128],"methods":[43],"beneficial":[45],"information":[49],"modelling,":[50],"they":[51],"would":[52],"oversmooth":[53],"and":[54,65,118,143,160,184,187],"bring":[55],"noise":[56],"regions":[59],"contain":[60],"fine":[61],"details":[62],"boundaries":[64],"small":[66],"objects),":[67],"which":[68,111],"very":[70],"much":[71],"cared":[72],"segmentation":[76,149,176],"task.":[77],"To":[78],"alleviate":[79],"this":[80],"problem,":[81],"we":[82,104,130],"propose":[83],"explore":[85],"context":[88],"making":[90],"aggregated":[92],"relationship":[94,120],"being":[95],"distributed":[96],"more":[97],"accurately":[98],"regions.":[101],"In":[102],"particular,":[103],"design":[105],"a":[106],"novel":[107],"distribution":[109],"module":[110],"models":[112,189],"affinity":[114],"map":[115],"between":[116],"each":[122],"pixel":[123],"adaptively.":[124],"Integrating":[125],"existing":[126,147],"modules,":[129],"show":[131],"that":[132],"our":[133,162],"approach":[134,163],"can":[135],"be":[136],"modularized":[137],"an":[139],"end-to-end":[140],"trainable":[141],"block":[142],"easily":[144],"plugged":[145],"into":[146],"networks,":[150],"giving":[151],"rise":[152],"GALD":[155],"networks.":[156],"Despite":[157],"simplicity":[159],"versatility,":[161],"allows":[164],"us":[165],"build":[167],"new":[168],"state":[169],"of":[170],"art":[172],"on":[173],"major":[174],"benchmarks":[177],"including":[178],"Cityscapes,":[179],"ADE20K,":[180],"Pascal":[181],"Context,":[182],"Camvid":[183],"COCO-stuff.":[185],"Code":[186],"trained":[188],"released":[191],"at":[192],"https://github.com/lxtGH/GALD-DGCNet":[193],"foster":[195],"further":[196],"research.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}