{"id":"https://openalex.org/W4293518050","doi":"https://doi.org/10.1109/icme52920.2022.9859843","title":"Deep Category-Aware Hashing for Object Retrieval in Multi-Label Image","display_name":"Deep Category-Aware Hashing for Object Retrieval in Multi-Label Image","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4293518050","doi":"https://doi.org/10.1109/icme52920.2022.9859843"},"language":"en","primary_location":{"id":"doi:10.1109/icme52920.2022.9859843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859843","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103032169","display_name":"Yun Zou","orcid":"https://orcid.org/0009-0004-0259-0558"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Zou","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063244996","display_name":"Xiaoyan Tan","orcid":"https://orcid.org/0000-0003-3252-6288"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Tan","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036987388","display_name":"Jingkuan Song","orcid":"https://orcid.org/0000-0002-2549-8322"},"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":"Jingkuan Song","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015061573","display_name":"Ke Zhou","orcid":"https://orcid.org/0000-0002-2161-8796"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Zhou","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111677737","display_name":"Fuhao Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuhao Zou","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"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":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":0.9970999956130981,"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":0.9958999752998352,"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":0.7621219754219055},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7491054534912109},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7008926272392273},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6903560757637024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5981363654136658},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5666305422782898},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48936527967453003},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.4594889283180237},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.4550543427467346},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.44996708631515503},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44009605050086975},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.43826228380203247},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4220300316810608},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37291035056114197},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3652101457118988},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.27608972787857056},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.07223746180534363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7621219754219055},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7491054534912109},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7008926272392273},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6903560757637024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5981363654136658},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5666305422782898},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48936527967453003},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.4594889283180237},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.4550543427467346},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.44996708631515503},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44009605050086975},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.43826228380203247},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4220300316810608},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37291035056114197},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3652101457118988},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.27608972787857056},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.07223746180534363},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme52920.2022.9859843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859843","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1974647172","https://openalex.org/W1992371516","https://openalex.org/W2097117768","https://openalex.org/W2153273131","https://openalex.org/W2295107390","https://openalex.org/W2296447001","https://openalex.org/W2411707397","https://openalex.org/W2788585680","https://openalex.org/W2798834175","https://openalex.org/W2997572149","https://openalex.org/W3034205626","https://openalex.org/W3035732386","https://openalex.org/W3091461378","https://openalex.org/W3108274592","https://openalex.org/W3171515703","https://openalex.org/W3186608063","https://openalex.org/W3199632061","https://openalex.org/W3208922547","https://openalex.org/W6648560114","https://openalex.org/W6784138512","https://openalex.org/W6786458249","https://openalex.org/W6803111050"],"related_works":["https://openalex.org/W3177930984","https://openalex.org/W2052697133","https://openalex.org/W2076896210","https://openalex.org/W2384288472","https://openalex.org/W1539573266","https://openalex.org/W2093596879","https://openalex.org/W2376984068","https://openalex.org/W2201969175","https://openalex.org/W2017257332","https://openalex.org/W2747088704"],"abstract_inverted_index":{"Hashing":[0],"learning":[1],"for":[2,91],"category-aware":[3,82,137],"object":[4,23,42,93,113,138],"retrieval":[5,139],"in":[6,13,20,25,95],"multi-label":[7],"image":[8,28,97],"is":[9,17,107],"a":[10,21,76],"challenging":[11],"topic,":[12],"which":[14,40,67,85,103],"the":[15,26,31,45,96,104,116,142],"user":[16],"only":[18],"interested":[19,46],"certain":[22],"included":[24,94],"query":[27],"rather":[29],"than":[30],"entire":[32],"image.":[33],"Thus,":[34],"it":[35,109],"aims":[36],"to":[37,44,63],"find":[38],"images":[39],"contain":[41],"similar":[43],"one.":[47],"However,":[48],"previous":[49],"hashing":[50],"methods":[51],"pre-select":[52],"plenty":[53],"of":[54,102,118],"bounding":[55],"box":[56],"proposals":[57],"or":[58],"involve":[59],"multiple":[60],"independent":[61],"steps":[62],"generate":[64,87],"object-level":[65],"representation,":[66],"may":[68],"be":[69],"suboptimal.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74],"propose":[75],"lightweight":[77],"yet":[78],"effective":[79],"end-to-end":[80],"deep":[81],"hashing(DCAH)":[83],"framework,":[84],"can":[86,110],"individual":[88],"hash":[89],"code":[90],"each":[92],"by":[98],"image-level":[99],"label":[100],"information,":[101],"key":[105],"point":[106],"that":[108,130],"directly":[111],"localize":[112],"region":[114],"with":[115],"assistance":[117],"category":[119],"attention":[120],"map.":[121],"Extensive":[122],"experiments":[123],"on":[124,136],"four":[125],"benchmark":[126],"datasets":[127],"have":[128],"demonstrated":[129],"our":[131],"method":[132],"achieves":[133],"promising":[134],"improvements":[135],"results":[140],"over":[141],"state-to-the-art":[143],"methods.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}