{"id":"https://openalex.org/W2583886916","doi":"https://doi.org/10.1109/icarcv.2016.7838719","title":"Exploiting generic multi-level convolutional neural networks for scene understanding","display_name":"Exploiting generic multi-level convolutional neural networks for scene understanding","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2583886916","doi":"https://doi.org/10.1109/icarcv.2016.7838719","mag":"2583886916"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2016.7838719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2016.7838719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"},"type":"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/A5022799473","display_name":"Tam Nguyen","orcid":"https://orcid.org/0000-0003-0236-7992"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tam V. Nguyen","raw_affiliation_strings":["Department of Computer Science, University of Dayton"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Dayton","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029778327","display_name":"Luoqi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Luoqi Liu","raw_affiliation_strings":["Department of ECE, National University of Singapore"],"affiliations":[{"raw_affiliation_string":"Department of ECE, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072127484","display_name":"Khang Nguyen","orcid":"https://orcid.org/0000-0002-6571-7075"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khang Nguyen","raw_affiliation_strings":["Department of Software Engineering, University of Information Technology, Vietnam"],"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, University of Information Technology, Vietnam","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022799473"],"corresponding_institution_ids":["https://openalex.org/I127591826"],"apc_list":null,"apc_paid":null,"fwci":0.835,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81596348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3361","issue":null,"first_page":"1","last_page":"6"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9990000128746033,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8079750537872314},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8034012317657471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7572944164276123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.672972559928894},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5854007005691528},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.571319580078125},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.56224125623703},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5588743686676025},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.558063805103302},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.549010694026947},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.528221607208252},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.5083722472190857},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4866538643836975},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48086267709732056},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44225233793258667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.358470618724823},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09083220362663269}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8079750537872314},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8034012317657471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7572944164276123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.672972559928894},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5854007005691528},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.571319580078125},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.56224125623703},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5588743686676025},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.558063805103302},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.549010694026947},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.528221607208252},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.5083722472190857},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4866538643836975},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48086267709732056},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44225233793258667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.358470618724823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09083220362663269},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2016.7838719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2016.7838719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1423339008","https://openalex.org/W1528789833","https://openalex.org/W1538131130","https://openalex.org/W1542723449","https://openalex.org/W1566135517","https://openalex.org/W1800471361","https://openalex.org/W1903029394","https://openalex.org/W1989684337","https://openalex.org/W1999478155","https://openalex.org/W2004509105","https://openalex.org/W2011404628","https://openalex.org/W2016053056","https://openalex.org/W2032872133","https://openalex.org/W2051179318","https://openalex.org/W2051458493","https://openalex.org/W2101309634","https://openalex.org/W2103956678","https://openalex.org/W2108598243","https://openalex.org/W2110764733","https://openalex.org/W2134670479","https://openalex.org/W2143516773","https://openalex.org/W2143884379","https://openalex.org/W2154083146","https://openalex.org/W2154644822","https://openalex.org/W2155893237","https://openalex.org/W2158305599","https://openalex.org/W2163605009","https://openalex.org/W2167418391","https://openalex.org/W6628124331","https://openalex.org/W6631412525","https://openalex.org/W6632100814","https://openalex.org/W6632547051","https://openalex.org/W6675876930","https://openalex.org/W6676297131","https://openalex.org/W6679792166","https://openalex.org/W6681469950","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W2149980199","https://openalex.org/W3125766170","https://openalex.org/W2040641410"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"the":[5,16,34,47,52,60,70,74,100,104,111,121,124],"application":[6],"of":[7,30,62,73,123],"generic":[8],"multi-level":[9],"Convolutional":[10],"Neural":[11],"Networks":[12],"(CNN)":[13],"approach":[14],"into":[15,57],"scene":[17],"understanding":[18],"or":[19],"image":[20,50],"parsing":[21,89],"task.":[22],"Given":[23],"an":[24],"input":[25,48],"image,":[26],"first,":[27],"a":[28],"set":[29,36],"similar":[31,53],"images":[32,54],"from":[33],"training":[35],"are":[37,55,107],"retrieved":[38],"based":[39,77],"on":[40,78,116],"global-level":[41],"CNN":[42,80],"feature":[43],"matching":[44],"similarities.":[45],"Then,":[46],"test":[49,64],"and":[51,82],"oversegmented":[56],"superpixels.":[58],"Next,":[59],"class":[61],"each":[63],"image's":[65],"superpixel":[66,88],"is":[67,90],"initialized":[68],"by":[69,110],"majority":[71],"vote":[72],"k-nearest-neighbor":[75],"superpixels":[76],"regional-level":[79],"features":[81,84],"hand-crafted":[83],"matching.":[85],"The":[86],"initial":[87],"later":[91],"combined":[92],"with":[93],"per-exemplar":[94],"sliding":[95],"windows":[96],"to":[97],"roughly":[98],"form":[99],"pixel":[101],"labels.":[102],"Eventually,":[103],"final":[105],"labels":[106],"further":[108],"refined":[109],"contextual":[112],"smoothing.":[113],"Extensive":[114],"experiments":[115],"different":[117],"challenging":[118],"datasets":[119],"demonstrate":[120],"potentials":[122],"proposed":[125],"method.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}