{"id":"https://openalex.org/W2945806627","doi":"https://doi.org/10.1109/tcyb.2019.2913016","title":"Scene Categorization by Deeply Learning Gaze Behavior in a Semisupervised Context","display_name":"Scene Categorization by Deeply Learning Gaze Behavior in a Semisupervised Context","publication_year":2019,"publication_date":"2019-05-23","ids":{"openalex":"https://openalex.org/W2945806627","doi":"https://doi.org/10.1109/tcyb.2019.2913016","mag":"2945806627","pmid":"https://pubmed.ncbi.nlm.nih.gov/31144650"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2019.2913016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2913016","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/A5031755593","display_name":"Luming Zhang","orcid":"https://orcid.org/0000-0001-7187-6526"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luming Zhang","raw_affiliation_strings":["College of Computer Sciences, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001531117","display_name":"Ronghua Liang","orcid":"https://orcid.org/0000-0003-2077-9608"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghua Liang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069353502","display_name":"Jianwei Yin","orcid":"https://orcid.org/0000-0003-4703-7348"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Yin","raw_affiliation_strings":["College of Computer Sciences, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011200911","display_name":"Dongxiang Zhang","orcid":"https://orcid.org/0000-0002-9964-2470"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxiang Zhang","raw_affiliation_strings":["College of Computer Sciences, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082634513","display_name":"Ling Shao","orcid":"https://orcid.org/0000-0002-8264-6117"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ling Shao","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I4210116052"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031755593"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.5061,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.68369433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"51","issue":"8","first_page":"4265","last_page":"4276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"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":0.9959999918937683,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7583930492401123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.740041196346283},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6873753070831299},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.5856032371520996},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.538001537322998},{"id":"https://openalex.org/keywords/scene-statistics","display_name":"Scene statistics","score":0.5299587845802307},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5156313180923462},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.49481290578842163},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45094963908195496},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4501028060913086},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43577536940574646},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43506360054016113},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4196437895298004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.109463632106781},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09546124935150146}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7583930492401123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.740041196346283},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6873753070831299},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.5856032371520996},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.538001537322998},{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.5299587845802307},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5156313180923462},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.49481290578842163},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45094963908195496},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4501028060913086},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43577536940574646},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43506360054016113},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4196437895298004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.109463632106781},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09546124935150146},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2019.2913016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2913016","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:31144650","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31144650","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1977736942","display_name":null,"funder_award_id":"61825205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5813663502","display_name":null,"funder_award_id":"61572169","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7384859478","display_name":null,"funder_award_id":"61772459","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7408889733","display_name":null,"funder_award_id":"2017YFB1400603","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W76974083","https://openalex.org/W1510835000","https://openalex.org/W1551774182","https://openalex.org/W1576613474","https://openalex.org/W1933900011","https://openalex.org/W1942214758","https://openalex.org/W1965766334","https://openalex.org/W1969294188","https://openalex.org/W1971756996","https://openalex.org/W1972715665","https://openalex.org/W1976977741","https://openalex.org/W1977617632","https://openalex.org/W1981228217","https://openalex.org/W1991367009","https://openalex.org/W1991598519","https://openalex.org/W2002781701","https://openalex.org/W2007571554","https://openalex.org/W2010632104","https://openalex.org/W2017814585","https://openalex.org/W2019262680","https://openalex.org/W2022732461","https://openalex.org/W2023081159","https://openalex.org/W2027922120","https://openalex.org/W2037328649","https://openalex.org/W2063608179","https://openalex.org/W2071309849","https://openalex.org/W2071901160","https://openalex.org/W2072748699","https://openalex.org/W2073212499","https://openalex.org/W2076363162","https://openalex.org/W2084260365","https://openalex.org/W2087044413","https://openalex.org/W2088049833","https://openalex.org/W2097018403","https://openalex.org/W2102605133","https://openalex.org/W2103666701","https://openalex.org/W2107034620","https://openalex.org/W2108598243","https://openalex.org/W2109154902","https://openalex.org/W2109255472","https://openalex.org/W2115467367","https://openalex.org/W2118246710","https://openalex.org/W2128272608","https://openalex.org/W2133589685","https://openalex.org/W2133858838","https://openalex.org/W2134128658","https://openalex.org/W2134670479","https://openalex.org/W2135957164","https://openalex.org/W2138153039","https://openalex.org/W2139172286","https://openalex.org/W2145607950","https://openalex.org/W2147414309","https://openalex.org/W2152100107","https://openalex.org/W2152161678","https://openalex.org/W2152233525","https://openalex.org/W2153635508","https://openalex.org/W2157791002","https://openalex.org/W2161502316","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2163922914","https://openalex.org/W2169177311","https://openalex.org/W2171837816","https://openalex.org/W2191616647","https://openalex.org/W2194775991","https://openalex.org/W2342880667","https://openalex.org/W2467531333","https://openalex.org/W2740667773","https://openalex.org/W2801295340","https://openalex.org/W3004533406","https://openalex.org/W3100609465","https://openalex.org/W4232730838","https://openalex.org/W6634500723","https://openalex.org/W6659689191","https://openalex.org/W6674642818","https://openalex.org/W6679570432","https://openalex.org/W6679792166","https://openalex.org/W6680437723","https://openalex.org/W6682953061","https://openalex.org/W6684191040","https://openalex.org/W6684872329","https://openalex.org/W7075742223"],"related_works":["https://openalex.org/W1977852414","https://openalex.org/W2109586375","https://openalex.org/W2071302177","https://openalex.org/W1986440968","https://openalex.org/W4311804456","https://openalex.org/W2168616527","https://openalex.org/W4365135359","https://openalex.org/W2573606541","https://openalex.org/W2582543502","https://openalex.org/W2891061472"],"abstract_inverted_index":{"Accurately":[0],"recognizing":[1],"different":[2,198],"categories":[3],"of":[4,51,96,115,134,211],"sceneries":[5],"with":[6,158],"sophisticated":[7],"spatial":[8],"configurations":[9],"is":[10,72,82,99,109,128,152,189],"a":[11,66,85,93,101,113,145,193],"useful":[12],"technique":[13],"in":[14,84],"computer":[15],"vision":[16],"and":[17,23,54,103,161],"intelligent":[18],"systems,":[19],"e.g.,":[20],"scene":[21,75,97,138,180,204],"understanding":[22],"autonomous":[24],"driving.":[25],"Competitive":[26],"accuracies":[27],"have":[28,207],"been":[29],"observed":[30],"by":[31],"the":[32,49,55,78,123,132,165,172,178,209],"deep":[33,39,174],"recognition":[34],"models":[35],"recently.":[36],"Nevertheless,":[37],"these":[38],"architectures":[40],"cannot":[41],"explicitly":[42],"characterize":[43,131],"human":[44,79],"visual":[45],"perception,":[46],"that":[47],"is,":[48],"sequence":[50],"gaze":[52,80,124],"allocation":[53],"subsequent":[56],"cognitive":[57],"processes":[58],"when":[59],"viewing":[60],"each":[61,120,137,143,169],"scenery.":[62,121],"In":[63,88],"this":[64],"paper,":[65],"novel":[67,146],"spatially":[68,147],"aware":[69,148],"aggregation":[70],"network":[71],"proposed":[73,110],"for":[74],"categorization,":[76],"where":[77],"behavior":[81],"discovered":[83],"semisupervised":[86,102],"setting.":[87],"particular,":[89],"as":[90],"semantically":[91],"labeling":[92],"large":[94],"quantity":[95],"images":[98,181],"labor-intensive,":[100],"structure-preserved":[104],"non-negative":[105],"matrix":[106],"factorization":[107],"(NMF)":[108],"to":[111,130,196],"detect":[112],"set":[114],"visually/semantically":[116],"salient":[117,166],"regions":[118,157,167],"from":[119,177],"Afterward,":[122],"shifting":[125],"path":[126],"(GSP)":[127],"engineered":[129],"process":[133],"humans":[135],"perceiving":[136],"picture.":[139],"To":[140],"deeply":[141],"describe":[142],"GSP,":[144],"CNN":[149],"termed":[150],"SA-Net":[151],"developed.":[153],"It":[154],"accepts":[155],"input":[156],"various":[159],"shapes":[160],"statistically":[162],"aggregates":[163],"all":[164],"along":[168],"GSP.":[170],"Finally,":[171],"learned":[173],"GSP":[175],"features":[176],"entire":[179],"are":[182],"fused":[183],"into":[184,192],"an":[185],"image":[186,205],"kernel,":[187],"which":[188],"subsequently":[190],"integrated":[191],"kernel":[194],"SVM":[195],"categorize":[197],"sceneries.":[199],"Comparative":[200],"experiments":[201],"on":[202],"six":[203],"sets":[206],"shown":[208],"advantage":[210],"our":[212],"method.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
