{"id":"https://openalex.org/W3034851464","doi":"https://doi.org/10.24963/ijcai.2020/119","title":"Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing","display_name":"Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3034851464","doi":"https://doi.org/10.24963/ijcai.2020/119","mag":"3034851464"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/119","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/119","pdf_url":"https://www.ijcai.org/proceedings/2020/0119.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth 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/2020/0119.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100333147","display_name":"Weiwei Wang","orcid":"https://orcid.org/0000-0002-7729-5180"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052917688","display_name":"Yuming Shen","orcid":"https://orcid.org/0000-0003-4017-9140"},"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":"Yuming Shen","raw_affiliation_strings":["Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, United Arab Emirates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064008061","display_name":"Haofeng Zhang","orcid":"https://orcid.org/0000-0002-4039-7618"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haofeng Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027545344","display_name":"Yazhou Yao","orcid":"https://orcid.org/0000-0002-0337-9410"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yazhou Yao","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418866","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-9121-5124"},"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":"Li Liu","raw_affiliation_strings":["Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, United Arab Emirates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210116052"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"853","last_page":"859"},"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":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/computer-science","display_name":"Computer science","score":0.7507176399230957},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6500640511512756},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5580325126647949},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5469669103622437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5032152533531189},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48603278398513794},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45176461338996887},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.44292473793029785},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.44131723046302795},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4229496121406555},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33382827043533325}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7507176399230957},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6500640511512756},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5580325126647949},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5469669103622437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5032152533531189},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48603278398513794},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45176461338996887},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.44292473793029785},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.44131723046302795},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4229496121406555},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33382827043533325},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2020/119","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/119","pdf_url":"https://www.ijcai.org/proceedings/2020/0119.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/119","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/119","pdf_url":"https://www.ijcai.org/proceedings/2020/0119.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5371617261","display_name":"\u96f6\u6837\u672c\u5b66\u4e60\u4e2d\u7684\u8bed\u4e49\u5c5e\u6027\u8868\u793a\u53ca\u7279\u5f81\u5408\u6210\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61872187","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3034851464.pdf","grobid_xml":"https://content.openalex.org/works/W3034851464.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W199018803","https://openalex.org/W1861492603","https://openalex.org/W1970055505","https://openalex.org/W1974647172","https://openalex.org/W1976258951","https://openalex.org/W2049993534","https://openalex.org/W2106277773","https://openalex.org/W2142881874","https://openalex.org/W2155803963","https://openalex.org/W2162666105","https://openalex.org/W2199369932","https://openalex.org/W2203543769","https://openalex.org/W2251864938","https://openalex.org/W2266728343","https://openalex.org/W2267050401","https://openalex.org/W2345649690","https://openalex.org/W2461972671","https://openalex.org/W2603445054","https://openalex.org/W2750867444","https://openalex.org/W2759194679","https://openalex.org/W2771872884","https://openalex.org/W2781821509","https://openalex.org/W2794557536","https://openalex.org/W2809299793","https://openalex.org/W2890960987","https://openalex.org/W2897641604","https://openalex.org/W2905040928","https://openalex.org/W2945634346","https://openalex.org/W2963001870","https://openalex.org/W2963288100","https://openalex.org/W3098232083"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2159024673","https://openalex.org/W2083665254"],"abstract_inverted_index":{"The":[0],"label-free":[1],"nature":[2],"of":[3,87,153],"unsupervised":[4,65],"cross-modal":[5,84],"hashing":[6,66,116,131],"hinders":[7],"models":[8],"from":[9],"exploiting":[10],"the":[11,20,28,38,41,48,55,83,94,98,110,115,126,130,138,151],"exact":[12],"semantic":[13],"data":[14,51],"similarity.":[15],"Existing":[16],"research":[17],"typically":[18],"simulates":[19],"semantics":[21],"by":[22],"a":[23,63],"heuristic":[24],"geometric":[25,101],"prior":[26],"in":[27,58],"original":[29,42],"feature":[30,100],"space.":[31],"However,":[32],"this":[33,59],"introduces":[34],"heavy":[35],"bias":[36],"into":[37],"model":[39,155],"as":[40],"features":[43],"are":[44],"not":[45],"fully":[46],"representing":[47],"underlying":[49],"multi-view":[50],"relations.":[52],"To":[53],"address":[54],"problem":[56],"above,":[57],"paper,":[60],"we":[61,92],"propose":[62],"novel":[64,74],"method":[67],"called":[68],"Semantic-Rebased":[69],"Cross-modal":[70],"Hashing":[71],"(SRCH).":[72],"A":[73],"\u2018Set-and-Rebase\u2019":[75],"process":[76],"is":[77,141],"defined":[78],"to":[79,97,108,114,124],"initialize":[80],"and":[81,103,128],"update":[82,109],"similarity":[85],"graph":[86,95,127],"training":[88],"data.":[89],"In":[90],"particular,":[91],"set":[93],"according":[96,113],"intra-modal":[99],"basis":[102],"then":[104],"alternately":[105],"rebase":[106,125],"it":[107],"edges":[111],"within":[112],"results.":[117],"We":[118],"develop":[119],"an":[120],"alternating":[121],"optimization":[122],"routine":[123],"train":[129],"auto-encoders":[132],"with":[133],"closed-form":[134],"solutions":[135],"so":[136],"that":[137],"overall":[139],"framework":[140],"efficiently":[142],"trained.":[143],"Our":[144],"experimental":[145],"results":[146],"on":[147],"benchmarked":[148],"datasets":[149],"demonstrate":[150],"superiority":[152],"our":[154],"against":[156],"state-of-the-art":[157],"algorithms.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}