{"id":"https://openalex.org/W2965860096","doi":"https://doi.org/10.24963/ijcai.2019/500","title":"Object Detection based Deep Unsupervised Hashing","display_name":"Object Detection based Deep Unsupervised Hashing","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2965860096","doi":"https://doi.org/10.24963/ijcai.2019/500","mag":"2965860096"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/500","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/500","pdf_url":"https://www.ijcai.org/proceedings/2019/0500.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0500.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012821978","display_name":"Rong-Cheng Tu","orcid":"https://orcid.org/0000-0002-9621-450X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong-Cheng Tu","raw_affiliation_strings":["CETC Big Data Research Institute, China","Department of Computer Science and Technology, Beijing Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CETC Big Data Research Institute, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017626590","display_name":"Xian-Ling Mao","orcid":"https://orcid.org/0000-0001-6795-2311"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Ling Mao","raw_affiliation_strings":["Department of Computer Science and Technology, Beijing Institute of Technology, China","Zhijiang Lab, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Zhijiang Lab, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044872547","display_name":"Bo-Si Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo-Si Feng","raw_affiliation_strings":["Department of Computer Science and Technology, Beijing Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112533849","display_name":"Shuying Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu-ying Yu","raw_affiliation_strings":["Department of Computer Science and Technology, Beijing Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.732,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79460063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3606","last_page":"3612"},"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":1.0,"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":1.0,"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":0.9955000281333923,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9954000115394592,"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/computer-science","display_name":"Computer science","score":0.8206977248191833},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6988694071769714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6897245645523071},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5910862684249878},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5266754031181335},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.47784897685050964},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4286797046661377},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37046492099761963},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3213275372982025},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29705238342285156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8206977248191833},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6988694071769714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6897245645523071},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5910862684249878},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5266754031181335},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.47784897685050964},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4286797046661377},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37046492099761963},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3213275372982025},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29705238342285156},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/500","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/500","pdf_url":"https://www.ijcai.org/proceedings/2019/0500.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/500","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/500","pdf_url":"https://www.ijcai.org/proceedings/2019/0500.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1864811850","display_name":null,"funder_award_id":"2018YFB1005100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2200655593","display_name":null,"funder_award_id":"2018018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4918981142","display_name":null,"funder_award_id":"61751201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7118507406","display_name":"\u878d\u5165\u6982\u5ff5\u7684\u9ad8\u6548\u4e3b\u9898\u5206\u6790\u6846\u67b6\u4e0e\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61772076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320328844","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2965860096.pdf","grobid_xml":"https://content.openalex.org/works/W2965860096.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1660390307","https://openalex.org/W1923967535","https://openalex.org/W1985554184","https://openalex.org/W2018139053","https://openalex.org/W2031489346","https://openalex.org/W2040918046","https://openalex.org/W2044195942","https://openalex.org/W2069870183","https://openalex.org/W2084363474","https://openalex.org/W2144892774","https://openalex.org/W2162006472","https://openalex.org/W2163605009","https://openalex.org/W2402125293","https://openalex.org/W2461086877","https://openalex.org/W2509619282","https://openalex.org/W2570343428","https://openalex.org/W2586811659","https://openalex.org/W2594589367","https://openalex.org/W2606348288","https://openalex.org/W2733548594","https://openalex.org/W2799245683","https://openalex.org/W2963398644","https://openalex.org/W2964280870","https://openalex.org/W3106250896","https://openalex.org/W6654714714","https://openalex.org/W6671516380","https://openalex.org/W6712733126","https://openalex.org/W6755811877","https://openalex.org/W6803771590","https://openalex.org/W6864014924"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W3196155444","https://openalex.org/W4321844043","https://openalex.org/W3210156800","https://openalex.org/W4390062853","https://openalex.org/W4297883248","https://openalex.org/W4255830763","https://openalex.org/W1583266947","https://openalex.org/W4286799911","https://openalex.org/W3165437720"],"abstract_inverted_index":{"Recently,":[0],"similarity-preserving":[1],"hashing":[2,17,42,124],"methods":[3,18,43,125],"have":[4,22],"been":[5],"extensively":[6],"studied":[7],"for":[8,19,32],"large-scale":[9],"image":[10,128],"retrieval.":[11],"Compared":[12],"with":[13],"unsupervised":[14,41,123],"hashing,":[15],"supervised":[16,50,93],"labeled":[20],"data":[21,56],"usually":[23],"better":[24],"performance":[25,39],"by":[26],"utilizing":[27],"semantic":[28,51],"label":[29],"information.":[30],"Intuitively,":[31],"unlabeled":[33,55],"data,":[34],"it":[35],"will":[36],"improve":[37],"the":[38,60,64,101,117,121,127],"of":[40],"if":[44],"we":[45,71],"can":[46],"first":[47],"mine":[48],"some":[49],"'label":[52,61,94],"information'":[53,62],"from":[54],"and":[57],"then":[58],"incorporate":[59],"into":[63],"training":[65],"process.":[66],"Thus,":[67],"in":[68,126],"this":[69],"paper,":[70],"propose":[72],"a":[73,84],"novel":[74],"Object":[75],"Detection":[76],"based":[77],"Deep":[78],"Unsupervised":[79],"Hashing":[80],"method":[81,119],"(ODDUH).":[82],"Specifically,":[83],"pre-trained":[85],"object":[86],"detection":[87],"model":[88],"is":[89,97],"utilized":[90],"to":[91,99,104],"mining":[92],"information',":[95],"which":[96],"used":[98],"guide":[100],"learning":[102],"process":[103],"generate":[105],"high-quality":[106],"hash":[107],"codes.":[108],"Extensive":[109],"experiments":[110],"on":[111],"two":[112],"public":[113],"datasets":[114],"demonstrate":[115],"that":[116],"proposed":[118],"outperforms":[120],"state-of-the-art":[122],"retrieval":[129],"task.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
