{"id":"https://openalex.org/W3200250583","doi":"https://doi.org/10.1109/tnnls.2021.3107194","title":"Robust Scene Parsing by Mining Supportive Knowledge From Dataset","display_name":"Robust Scene Parsing by Mining Supportive Knowledge From Dataset","publication_year":2021,"publication_date":"2021-09-14","ids":{"openalex":"https://openalex.org/W3200250583","doi":"https://doi.org/10.1109/tnnls.2021.3107194","mag":"3200250583","pmid":"https://pubmed.ncbi.nlm.nih.gov/34520365"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3107194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3107194","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5073908409","display_name":"Ao Luo","orcid":"https://orcid.org/0000-0003-3494-8062"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Luo","raw_affiliation_strings":["Megvii Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3494-8062","affiliations":[{"raw_affiliation_string":"Megvii Technology, Chengdu, China","institution_ids":["https://openalex.org/I4401726805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346607","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0002-1157-8719"},"institutions":[{"id":"https://openalex.org/I2801277386","display_name":"Emirates Foundation","ror":"https://ror.org/05nd26619","country_code":"AE","type":"other","lineage":["https://openalex.org/I2801277386"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["Group 42 (G42), Abu Dhabi, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0002-1157-8719","affiliations":[{"raw_affiliation_string":"Group 42 (G42), Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I2801277386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353741","display_name":"Xin Li","orcid":"https://orcid.org/0000-0001-8047-9610"},"institutions":[{"id":"https://openalex.org/I2801277386","display_name":"Emirates Foundation","ror":"https://ror.org/05nd26619","country_code":"AE","type":"other","lineage":["https://openalex.org/I2801277386"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Group 42 (G42), Abu Dhabi, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0001-8047-9610","affiliations":[{"raw_affiliation_string":"Group 42 (G42), Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I2801277386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052012464","display_name":"Yuezun Li","orcid":"https://orcid.org/0000-0001-9299-1945"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuezun Li","raw_affiliation_strings":["Department of Computer Science, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-9299-1945","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052716839","display_name":"Zhicheng Jiao","orcid":"https://orcid.org/0000-0002-6968-0919"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhicheng Jiao","raw_affiliation_strings":["Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I1343180700","https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042965582","display_name":"Hong Cheng","orcid":"https://orcid.org/0000-0001-5532-9530"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Cheng","raw_affiliation_strings":["Center for Robot, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-5532-9530","affiliations":[{"raw_affiliation_string":"Center for Robot, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023752172","display_name":"Siwei Lyu","orcid":"https://orcid.org/0000-0002-0992-685X"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siwei Lyu","raw_affiliation_strings":["Department of Computer Science, University at Buffalo, State University of New York, Buffalo, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-0992-685X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University at Buffalo, State University of New York, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3769,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60369589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"34","issue":"5","first_page":"2633","last_page":"2646"},"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T11714","display_name":"Multimodal Machine Learning 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/parsing","display_name":"Parsing","score":0.851279616355896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8341838121414185},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7024312019348145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6780748963356018},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5891917943954468},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46162110567092896},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45387426018714905},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4532358646392822},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44411975145339966},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4394257366657257},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.41567206382751465}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.851279616355896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8341838121414185},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7024312019348145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6780748963356018},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5891917943954468},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46162110567092896},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45387426018714905},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4532358646392822},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44411975145339966},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4394257366657257},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41567206382751465},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3107194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3107194","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:34520365","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34520365","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1606858007","https://openalex.org/W1903029394","https://openalex.org/W1977970897","https://openalex.org/W1984309565","https://openalex.org/W2005385547","https://openalex.org/W2010132303","https://openalex.org/W2027963110","https://openalex.org/W2031489346","https://openalex.org/W2108598243","https://openalex.org/W2122053572","https://openalex.org/W2184957013","https://openalex.org/W2191124433","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2405989770","https://openalex.org/W2412782625","https://openalex.org/W2472819217","https://openalex.org/W2558580397","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2566365295","https://openalex.org/W2592939477","https://openalex.org/W2598666589","https://openalex.org/W2630837129","https://openalex.org/W2737258237","https://openalex.org/W2780664485","https://openalex.org/W2781228439","https://openalex.org/W2798791840","https://openalex.org/W2799166040","https://openalex.org/W2799213142","https://openalex.org/W2806331055","https://openalex.org/W2884822772","https://openalex.org/W2895340641","https://openalex.org/W2898024267","https://openalex.org/W2924464923","https://openalex.org/W2932399282","https://openalex.org/W2940262938","https://openalex.org/W2948080074","https://openalex.org/W2954300568","https://openalex.org/W2955058313","https://openalex.org/W2955813853","https://openalex.org/W2962884155","https://openalex.org/W2962933664","https://openalex.org/W2963052338","https://openalex.org/W2963091558","https://openalex.org/W2963136578","https://openalex.org/W2963318290","https://openalex.org/W2963319519","https://openalex.org/W2963341924","https://openalex.org/W2963563573","https://openalex.org/W2963727650","https://openalex.org/W2963840672","https://openalex.org/W2964015378","https://openalex.org/W2964309882","https://openalex.org/W2981689412","https://openalex.org/W2981899103","https://openalex.org/W2989684653","https://openalex.org/W2990032492","https://openalex.org/W2993235622","https://openalex.org/W2997403460","https://openalex.org/W3003760334","https://openalex.org/W3004632877","https://openalex.org/W3010969838","https://openalex.org/W3035071066","https://openalex.org/W3035339581","https://openalex.org/W3035526186","https://openalex.org/W3096966254","https://openalex.org/W3110495309","https://openalex.org/W4297732320","https://openalex.org/W6696085341","https://openalex.org/W6713507025","https://openalex.org/W6717697761","https://openalex.org/W6720057410","https://openalex.org/W6726873649","https://openalex.org/W6734330393","https://openalex.org/W6739696289","https://openalex.org/W6748481559","https://openalex.org/W6754713557","https://openalex.org/W6754725917","https://openalex.org/W6760897771","https://openalex.org/W6761630670","https://openalex.org/W6772269824","https://openalex.org/W6772377222","https://openalex.org/W6773565847"],"related_works":["https://openalex.org/W1663079876","https://openalex.org/W2069133146","https://openalex.org/W2017545316","https://openalex.org/W2100576949","https://openalex.org/W2159686533","https://openalex.org/W4242339654","https://openalex.org/W2349160795","https://openalex.org/W2971179492","https://openalex.org/W4286681602","https://openalex.org/W3209312100"],"abstract_inverted_index":{"Scene":[0],"parsing,":[1],"or":[2,58],"semantic":[3,187],"segmentation,":[4],"aims":[5],"at":[6],"labeling":[7],"all":[8,207],"pixels":[9],"in":[10,71],"an":[11],"image":[12,64],"with":[13],"the":[14,44,62,72,80,85,94,105,110,158,170],"predefined":[15],"categories":[16],"of":[17,113],"things":[18],"and":[19,99,101,131,151,173,186,192,202],"stuff.":[20],"Learning":[21],"a":[22,114,124,132],"robust":[23],"representation":[24],"for":[25,30,47,97,117],"each":[26],"pixel":[27],"is":[28,200],"crucial":[29],"this":[31,76],"task.":[32],"Existing":[33],"state-of-the-art":[34],"(SOTA)":[35],"algorithms":[36],"employ":[37],"deep":[38],"neural":[39,164],"networks":[40,54],"to":[41,83,108],"learn":[42],"(discover)":[43],"representations":[45,59,96,112],"needed":[46],"parsing":[48,145,185],"from":[49,61,104],"raw":[50],"data.":[51],"Nevertheless,":[52],"these":[53],"discover":[55],"desired":[56],"features":[57],"only":[60],"given":[63,171],"(content),":[65],"ignoring":[66],"more":[67],"generic":[68,95],"knowledge":[69,127,133,154,162],"contained":[70],"dataset.":[73],"To":[74],"overcome":[75],"deficiency,":[77],"we":[78,122],"make":[79],"first":[81],"attempt":[82],"explore":[84],"meaningful":[86],"supportive":[87,126,153],"knowledge,":[88],"including":[89],"general":[90],"visual":[91],"concepts":[92],"(i.e.,":[93],"objects":[98],"stuff)":[100],"their":[102],"relations":[103],"whole":[106],"dataset":[107],"enhance":[109],"underlying":[111],"specific":[115],"scene":[116,119,144,172,184],"better":[118,168,204],"parsing.":[120],"Specifically,":[121],"propose":[123],"novel":[125],"mining":[128],"module":[129],"(SKMM)":[130],"augmentation":[134],"operator":[135],"(KAO),":[136],"which":[137],"can":[138,167],"be":[139],"easily":[140],"plugged":[141],"into":[142,155],"modern":[143],"networks.":[146],"By":[147],"taking":[148],"image-specific":[149],"content":[150],"dataset-level":[152],"full":[156],"consideration,":[157],"resulting":[159],"model,":[160],"called":[161],"augmented":[163],"network":[165],"(KANN),":[166],"understand":[169],"provide":[174],"greater":[175],"representational":[176],"power.":[177],"Experiments":[178],"are":[179],"conducted":[180],"on":[181],"three":[182],"challenging":[183],"segmentation":[188],"datasets:":[189],"Cityscapes,":[190],"Pascal-Context,":[191],"ADE20K.":[193],"The":[194],"results":[195,205],"show":[196],"that":[197],"our":[198],"KANN":[199],"effective":[201],"achieves":[203],"than":[206],"existing":[208],"SOTA":[209],"methods.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}