{"id":"https://openalex.org/W3200012480","doi":"https://doi.org/10.1109/tpami.2021.3114089","title":"TelecomNet: Tag-Based Weakly-Supervised Modally Cooperative Hashing Network for Image Retrieval","display_name":"TelecomNet: Tag-Based Weakly-Supervised Modally Cooperative Hashing Network for Image Retrieval","publication_year":2021,"publication_date":"2021-09-21","ids":{"openalex":"https://openalex.org/W3200012480","doi":"https://doi.org/10.1109/tpami.2021.3114089","mag":"3200012480","pmid":"https://pubmed.ncbi.nlm.nih.gov/34546917"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2021.3114089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3114089","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5066877556","display_name":"Wei Zhao","orcid":"https://orcid.org/0000-0002-9767-1323"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhao","raw_affiliation_strings":["School of Information and Technology, Northwestern University, Xi’an, Shaanxi, China","State Key Laboratory of Integrated Services Networks, School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-9767-1323","affiliations":[{"raw_affiliation_string":"School of Information and Technology, Northwestern University, Xi’an, Shaanxi, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007403499","display_name":"Cai Xu","orcid":"https://orcid.org/0000-0002-7191-7348"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cai Xu","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-7191-7348","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065194313","display_name":"Ziyu Guan","orcid":"https://orcid.org/0000-0003-2413-4698"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Guan","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-2413-4698","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028940235","display_name":"Xunlian Wu","orcid":"https://orcid.org/0000-0001-6398-6354"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunlian Wu","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066572238","display_name":"Wanqing Zhao","orcid":"https://orcid.org/0000-0001-7622-0665"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanqing Zhao","raw_affiliation_strings":["School of Information and Technology, Northwestern University, Xi’an, Shaanxi, China","State Key Laboratory of Integrated Services Networks, School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-7622-0665","affiliations":[{"raw_affiliation_string":"School of Information and Technology, Northwestern University, Xi’an, Shaanxi, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qiguang Miao","orcid":"https://orcid.org/0000-0001-6766-8310"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiguang Miao","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-6766-8310","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102013345","display_name":"Xiaofei He","orcid":"https://orcid.org/0009-0001-9107-2354"},"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":"Xiaofei He","raw_affiliation_strings":["State Key Lab of CAD&CG, College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD&CG, College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418247","display_name":"Quan Wang","orcid":"https://orcid.org/0000-0001-6913-8604"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Wang","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-6913-8604","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4497,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.9098939,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"44","issue":"11","first_page":"7940","last_page":"7954"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9966999888420105,"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":0.996399998664856,"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":0.8070337772369385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6330587267875671},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6025614142417908},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5748031735420227},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46654772758483887},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.45944085717201233},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4391445517539978},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4362732470035553},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4162137508392334},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4012017846107483},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35327285528182983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8070337772369385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6330587267875671},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6025614142417908},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5748031735420227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46654772758483887},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.45944085717201233},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4391445517539978},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4362732470035553},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4162137508392334},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4012017846107483},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35327285528182983},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2021.3114089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3114089","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:34546917","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34546917","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2930858977","display_name":null,"funder_award_id":"62103314","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3083892850","display_name":null,"funder_award_id":"61876145","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5889316065","display_name":null,"funder_award_id":"61876144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7071169373","display_name":null,"funder_award_id":"61936006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7845548769","display_name":null,"funder_award_id":"62073255","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8746616028","display_name":null,"funder_award_id":"62133012","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1514928307","https://openalex.org/W1686810756","https://openalex.org/W1910300841","https://openalex.org/W1951304353","https://openalex.org/W1977354206","https://openalex.org/W1992371516","https://openalex.org/W2007972815","https://openalex.org/W2033000863","https://openalex.org/W2040918046","https://openalex.org/W2051666324","https://openalex.org/W2070959357","https://openalex.org/W2082456243","https://openalex.org/W2083026448","https://openalex.org/W2098012923","https://openalex.org/W2101746535","https://openalex.org/W2110096996","https://openalex.org/W2118597426","https://openalex.org/W2141697695","https://openalex.org/W2151368806","https://openalex.org/W2167460663","https://openalex.org/W2170942078","https://openalex.org/W2197560310","https://openalex.org/W2461086877","https://openalex.org/W2464915613","https://openalex.org/W2547411571","https://openalex.org/W2624945720","https://openalex.org/W2740030094","https://openalex.org/W2742000522","https://openalex.org/W2798834175","https://openalex.org/W2808282156","https://openalex.org/W2808604000","https://openalex.org/W2809553086","https://openalex.org/W2832876791","https://openalex.org/W2913081710","https://openalex.org/W2962786441","https://openalex.org/W2963213486","https://openalex.org/W2964158883","https://openalex.org/W2964280870","https://openalex.org/W2964281014","https://openalex.org/W2981138049","https://openalex.org/W2984884190","https://openalex.org/W3003608386","https://openalex.org/W3025665229","https://openalex.org/W3034239448","https://openalex.org/W3035732386","https://openalex.org/W3103846556","https://openalex.org/W3104255659","https://openalex.org/W6629956336","https://openalex.org/W6636510571","https://openalex.org/W6637373629","https://openalex.org/W6678246256","https://openalex.org/W6681077227","https://openalex.org/W6682533845","https://openalex.org/W6684181414","https://openalex.org/W6688152296","https://openalex.org/W6691474080","https://openalex.org/W6697214482","https://openalex.org/W6712322188","https://openalex.org/W6731676304","https://openalex.org/W6785557519","https://openalex.org/W6785821353"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"We":[0],"are":[1,17],"concerned":[2],"with":[3],"using":[4],"user-tagged":[5],"images":[6],"to":[7,130,140],"learn":[8],"proper":[9],"hashing":[10,28,61,69,99,132,162,175,193],"functions":[11],"for":[12,26,120,161],"image":[13,122,159],"retrieval.":[14],"The":[15,81,164],"benefits":[16],"two-fold:":[18],"(1)":[19],"we":[20,63,91],"could":[21,38],"obtain":[22],"abundant":[23],"training":[24],"data":[25,32,48],"deep":[27,68,174,192],"models;":[29],"(2)":[30],"tagging":[31,47,156],"possesses":[33],"richer":[34],"semantic":[35,117,138,144],"information":[36,157],"which":[37,71],"help":[39],"better":[40],"characterize":[41],"similarity":[42],"relationships":[43],"between":[44],"images.":[45],"However,":[46],"suffers":[49],"from":[50,56,123],"noises,":[51],"vagueness":[52],"and":[53,78,102,126,158,168],"incompleteness.":[54],"Different":[55],"previous":[57],"unsupervised":[58],"or":[59],"supervised":[60,79],"learning,":[62],"propose":[64,92],"a":[65,136],"novel":[66,137],"weakly-supervised":[67,76],"framework":[70,165],"consists":[72],"of":[73,190],"two":[74,93],"stages:":[75],"pre-training":[77],"fine-tuning.":[80],"second":[82],"stage":[83],"is":[84,166],"as":[85],"usual.":[86],"In":[87],"the":[88,149,188],"first":[89,113],"stage,":[90],"formulations":[94],"Tag-basEd":[95],"weakLy-supErvised":[96],"Modally":[97],"COoperative":[98],"Network":[100],"(TelecomNet)":[101],"Generalized":[103],"TelecomNet":[104,112],"(GTelecomNet).":[105],"Rather":[106],"than":[107],"performing":[108],"supervision":[109],"on":[110,172,179],"tags,":[111],"learns":[114],"an":[115],"observed":[116],"embedding":[118],"vector":[119],"each":[121],"attached":[124],"tags":[125],"then":[127],"uses":[128],"it":[129],"guide":[131],"learning.":[133,163],"GTelecomNet":[134],"introduces":[135],"network":[139],"exploit":[141],"more":[142],"precise":[143],"information.":[145],"By":[146],"carefully":[147],"designing":[148],"optimization":[150],"problem,":[151],"they":[152,185],"can":[153],"well":[154],"leverage":[155],"content":[160],"general":[167],"does":[169],"not":[170],"depend":[171],"specific":[173],"methods.":[176,194],"Empirical":[177],"results":[178],"real":[180],"world":[181],"datasets":[182],"show":[183],"that":[184],"significantly":[186],"increase":[187],"performance":[189],"state-of-the-art":[191]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}