{"id":"https://openalex.org/W3187985423","doi":"https://doi.org/10.24963/ijcai.2021/125","title":"CIMON: Towards High-quality Hash Codes","display_name":"CIMON: Towards High-quality Hash Codes","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3187985423","doi":"https://doi.org/10.24963/ijcai.2021/125","mag":"3187985423"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/125","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/125","pdf_url":"https://www.ijcai.org/proceedings/2021/0125.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth 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/2021/0125.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100426938","display_name":"Xiao Luo","orcid":"https://orcid.org/0000-0002-7987-3714"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210086143","display_name":"Alibaba Group (Cayman Islands)","ror":"https://ror.org/00mnrxf72","country_code":"KY","type":"company","lineage":["https://openalex.org/I4210086143","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN","KY"],"is_corresponding":false,"raw_author_name":"Xiao Luo","raw_affiliation_strings":["DAMO Academy, Alibaba Group","Peking University","School of Mathematical Sciences, Peking University, China","DAMO Academy, Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group","institution_ids":["https://openalex.org/I4210086143"]},{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102878782","display_name":"Daqing Wu","orcid":"https://orcid.org/0000-0002-3354-0973"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210086143","display_name":"Alibaba Group (Cayman Islands)","ror":"https://ror.org/00mnrxf72","country_code":"KY","type":"company","lineage":["https://openalex.org/I4210086143","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN","KY"],"is_corresponding":false,"raw_author_name":"Daqing Wu","raw_affiliation_strings":["DAMO Academy, Alibaba Group","Peking University","DAMO Academy, Alibaba Group, Hangzhou, China","School of Mathematical Sciences, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group","institution_ids":["https://openalex.org/I4210086143"]},{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030001981","display_name":"Zeyu Ma","orcid":"https://orcid.org/0000-0002-2553-0679"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Ma","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen","School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348795","display_name":"Chong Chen","orcid":"https://orcid.org/0000-0003-0213-9957"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210086143","display_name":"Alibaba Group (Cayman Islands)","ror":"https://ror.org/00mnrxf72","country_code":"KY","type":"company","lineage":["https://openalex.org/I4210086143","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN","KY"],"is_corresponding":false,"raw_author_name":"Chong Chen","raw_affiliation_strings":["DAMO Academy, Alibaba Group","Peking University","School of Mathematical Sciences, Peking University, China","DAMO Academy, Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group","institution_ids":["https://openalex.org/I4210086143"]},{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091013880","display_name":"Minghua Deng","orcid":"https://orcid.org/0000-0002-9143-1898"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghua Deng","raw_affiliation_strings":["Peking University","School of Mathematical Sciences, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108638166","display_name":"Jinwen Ma","orcid":"https://orcid.org/0009-0006-5861-1957"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwen Ma","raw_affiliation_strings":["Peking University","School of Mathematical Sciences, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078722945","display_name":"Zhongming Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086143","display_name":"Alibaba Group (Cayman Islands)","ror":"https://ror.org/00mnrxf72","country_code":"KY","type":"company","lineage":["https://openalex.org/I4210086143","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN","KY"],"is_corresponding":false,"raw_author_name":"Zhongming Jin","raw_affiliation_strings":["DAMO Academy, Alibaba Group","DAMO Academy, Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group","institution_ids":["https://openalex.org/I4210086143"]},{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079865276","display_name":"Jianqiang Huang","orcid":"https://orcid.org/0000-0001-5735-2910"},"institutions":[{"id":"https://openalex.org/I4210086143","display_name":"Alibaba Group (Cayman Islands)","ror":"https://ror.org/00mnrxf72","country_code":"KY","type":"company","lineage":["https://openalex.org/I4210086143","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN","KY"],"is_corresponding":false,"raw_author_name":"Jianqiang Huang","raw_affiliation_strings":["DAMO Academy, Alibaba Group","DAMO Academy, Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group","institution_ids":["https://openalex.org/I4210086143"]},{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024965898","display_name":"Xian\u2010Sheng Hua","orcid":"https://orcid.org/0000-0002-8232-5049"},"institutions":[{"id":"https://openalex.org/I4210086143","display_name":"Alibaba Group (Cayman Islands)","ror":"https://ror.org/00mnrxf72","country_code":"KY","type":"company","lineage":["https://openalex.org/I4210086143","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN","KY"],"is_corresponding":false,"raw_author_name":"Xian-Sheng Hua","raw_affiliation_strings":["DAMO Academy, Alibaba Group","DAMO Academy, Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group","institution_ids":["https://openalex.org/I4210086143"]},{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"902","last_page":"908"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9973000288009644,"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/hash-function","display_name":"Hash function","score":0.7619256973266602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7314828634262085},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.6059126853942871},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5922373533248901},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5577732920646667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5215644240379333},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5051673054695129},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4725955128669739},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.42350390553474426},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42235642671585083},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.4159512221813202},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.4119427800178528},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.4061901271343231},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17234700918197632},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.1288665533065796}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7619256973266602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7314828634262085},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.6059126853942871},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5922373533248901},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5577732920646667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5215644240379333},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5051673054695129},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4725955128669739},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.42350390553474426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42235642671585083},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.4159512221813202},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.4119427800178528},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.4061901271343231},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17234700918197632},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.1288665533065796},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/125","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/125","pdf_url":"https://www.ijcai.org/proceedings/2021/0125.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/125","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/125","pdf_url":"https://www.ijcai.org/proceedings/2021/0125.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1419623888","display_name":null,"funder_award_id":"2016YFA0502303","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2384524375","display_name":null,"funder_award_id":"No.2016YFA0502303","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3174898976","display_name":null,"funder_award_id":"2016YFA0502303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5690750078","display_name":null,"funder_award_id":"31871342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7581910446","display_name":null,"funder_award_id":"No.31871342","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3187985423.pdf","grobid_xml":"https://content.openalex.org/works/W3187985423.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1974647172","https://openalex.org/W2040918046","https://openalex.org/W2138621090","https://openalex.org/W2155803963","https://openalex.org/W2461086877","https://openalex.org/W2781821509","https://openalex.org/W2798991696","https://openalex.org/W2808282156","https://openalex.org/W2963074118","https://openalex.org/W2963901583","https://openalex.org/W2964158883","https://openalex.org/W2970518483","https://openalex.org/W2994560339","https://openalex.org/W3005680577","https://openalex.org/W3034205626","https://openalex.org/W3034315422","https://openalex.org/W3034851464","https://openalex.org/W3035183475","https://openalex.org/W3035524453","https://openalex.org/W3062702710","https://openalex.org/W3118608800","https://openalex.org/W3170719842","https://openalex.org/W4303685239"],"related_works":["https://openalex.org/W102859714","https://openalex.org/W2136399778","https://openalex.org/W2333289748","https://openalex.org/W2334522381","https://openalex.org/W1994360333","https://openalex.org/W2069305575","https://openalex.org/W2293015666","https://openalex.org/W2040748620","https://openalex.org/W4297909034","https://openalex.org/W2797819729"],"abstract_inverted_index":{"Recently,":[0],"hashing":[1,20],"is":[2,54],"widely":[3],"used":[4],"in":[5,56,75,177],"approximate":[6],"nearest":[7],"neighbor":[8],"search":[9],"for":[10],"its":[11],"storage":[12],"and":[13,73,82,123,132,139,145,155,181],"computational":[14],"efficiency.":[15],"Most":[16],"of":[17,66,94,100,106,174],"the":[18,38,42,62,67,88,95,98,167],"unsupervised":[19],"methods":[21,96,176],"learn":[22],"to":[23,61,84,109,136,151],"map":[24],"images":[25],"into":[26],"semantic":[27,34,77,144],"similarity-preserving":[28],"hash":[29,89,107,157],"codes":[30,108],"by":[31],"constructing":[32],"local":[33,76],"similarity":[35,78,133],"structure":[36],"from":[37],"pre-trained":[39,68],"model":[40],"as":[41],"guiding":[43],"information,":[44],"i.e.,":[45],"treating":[46],"each":[47],"point":[48],"pair":[49],"similar":[50],"if":[51],"their":[52],"distance":[53],"small":[55],"feature":[57],"space.":[58],"However,":[59],"due":[60],"inefficient":[63],"representation":[64],"ability":[65],"model,":[69],"many":[70],"false":[71],"positives":[72],"negatives":[74],"will":[79,103],"be":[80],"introduced":[81,150],"lead":[83],"error":[85],"propagation":[86],"during":[87],"code":[90],"learning.":[91],"Moreover,":[92],"few":[93],"consider":[97],"robustness":[99],"models,":[101],"which":[102],"cause":[104],"instability":[105],"disturbance.":[110],"In":[111],"this":[112],"paper,":[113],"we":[114,128],"propose":[115],"a":[116,171],"new":[117],"method":[118,169],"named":[119],"Comprehensive":[120],"sImilarity":[121],"Mining":[122],"cOnsistency":[124],"learNing":[125],"(CIMON).":[126],"First,":[127],"use":[129],"global":[130],"refinement":[131],"statistical":[134],"distribution":[135],"obtain":[137],"reliable":[138],"smooth":[140],"guidance.":[141],"Second,":[142],"both":[143,153,178],"contrastive":[146],"consistency":[147],"learning":[148],"are":[149],"derive":[152],"disturb-invariant":[154],"discriminative":[156],"codes.":[158],"Extensive":[159],"experiments":[160],"on":[161],"several":[162],"benchmark":[163],"datasets":[164],"show":[165],"that":[166],"proposed":[168],"outperforms":[170],"wide":[172],"range":[173],"state-of-the-art":[175],"retrieval":[179],"performance":[180],"robustness.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}
