{"id":"https://openalex.org/W4402353554","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651086","title":"Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look","display_name":"Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353554","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651086"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5100419830","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0002-9587-4039"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, CAS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, CAS","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070090646","display_name":"Rui Zhu","orcid":"https://orcid.org/0000-0002-6037-6515"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Zhu","raw_affiliation_strings":["The Chinese University of Hong Kong,Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757130","display_name":"Shifeng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122640","display_name":"Nigerian Institute For Oil Palm Reasearch","ror":"https://ror.org/02y05bg81","country_code":"NG","type":"government","lineage":["https://openalex.org/I4210122640"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Shifeng Zhang","raw_affiliation_strings":["Sangfor Technologies Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sangfor Technologies Inc","institution_ids":["https://openalex.org/I4210122640"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110577072","display_name":"Xu Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122640","display_name":"Nigerian Institute For Oil Palm Reasearch","ror":"https://ror.org/02y05bg81","country_code":"NG","type":"government","lineage":["https://openalex.org/I4210122640"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Xu Zhou","raw_affiliation_strings":["Sangfor Technologies Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sangfor Technologies Inc","institution_ids":["https://openalex.org/I4210122640"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019433605","display_name":"Shifeng Chen","orcid":"https://orcid.org/0000-0003-0677-7358"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shifeng Chen","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, CAS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, CAS","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100686575","display_name":"Xiaofan Chen","orcid":"https://orcid.org/0000-0003-1628-9649"},"institutions":[{"id":"https://openalex.org/I4210122640","display_name":"Nigerian Institute For Oil Palm Reasearch","ror":"https://ror.org/02y05bg81","country_code":"NG","type":"government","lineage":["https://openalex.org/I4210122640"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Xiaofan Chen","raw_affiliation_strings":["Sangfor Technologies Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sangfor Technologies Inc","institution_ids":["https://openalex.org/I4210122640"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9957000017166138,"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/T12676","display_name":"Machine Learning and ELM","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6486912965774536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5663663744926453},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5640937685966492},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37058591842651367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34906625747680664},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08600559830665588}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6486912965774536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5663663744926453},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5640937685966492},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37058591842651367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34906625747680664},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08600559830665588},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1670132599","https://openalex.org/W1836465849","https://openalex.org/W2031489346","https://openalex.org/W2117539524","https://openalex.org/W2757910899","https://openalex.org/W2798303923","https://openalex.org/W2798991696","https://openalex.org/W2895608766","https://openalex.org/W2951751045","https://openalex.org/W2963078860","https://openalex.org/W2985353426","https://openalex.org/W3026092005","https://openalex.org/W3034748927","https://openalex.org/W3034831986","https://openalex.org/W3035524453","https://openalex.org/W3092603779","https://openalex.org/W3096655658","https://openalex.org/W3128661784","https://openalex.org/W3156636935","https://openalex.org/W3158714121","https://openalex.org/W3159481202","https://openalex.org/W3160314846","https://openalex.org/W3166784900","https://openalex.org/W3168822201","https://openalex.org/W3172456032","https://openalex.org/W3172615411","https://openalex.org/W3201916717","https://openalex.org/W4214642259","https://openalex.org/W4224884895","https://openalex.org/W4283810973","https://openalex.org/W4367000428","https://openalex.org/W4386076428","https://openalex.org/W4390874033","https://openalex.org/W6620707391","https://openalex.org/W6636883489","https://openalex.org/W6735249503","https://openalex.org/W6744513255","https://openalex.org/W6745136726","https://openalex.org/W6754278344","https://openalex.org/W6760184523","https://openalex.org/W6763416564","https://openalex.org/W6766978945","https://openalex.org/W6774314701","https://openalex.org/W6777179611","https://openalex.org/W6779326418","https://openalex.org/W6779525423","https://openalex.org/W6779997284","https://openalex.org/W6780191644","https://openalex.org/W6783961830","https://openalex.org/W6784095619","https://openalex.org/W6785324187","https://openalex.org/W6791713434","https://openalex.org/W6799416569","https://openalex.org/W6810016805","https://openalex.org/W6810400276","https://openalex.org/W6810907425","https://openalex.org/W6851949647"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W4386159726","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Self-supervised":[0],"contrastive":[1],"learning":[2,143],"heavily":[3],"relies":[4],"on":[5,32,126],"the":[6,24,34,41,46,62,78,84,97,101,127,131,138,149],"view":[7,25],"variance":[8,26],"brought":[9],"by":[10],"data":[11,59,85,108],"augmentation,":[12],"so":[13],"that":[14],"it":[15],"can":[16],"learn":[17],"a":[18,54,89],"view-invariant":[19],"pre-trained":[20,47,141],"representation.":[21],"Beyond":[22],"increasing":[23],"for":[27,116],"contrast,":[28],"this":[29,50],"work":[30],"focuses":[31],"improving":[33],"diversity":[35],"of":[36,45,92,140],"training":[37],"data,":[38],"to":[39,57,77],"improve":[40,137],"generalization":[42,147],"and":[43,81,100,106,144,153],"robustness":[44],"models.":[48],"To":[49],"end,":[51],"we":[52,135],"propose":[53],"unified":[55],"framework":[56],"conduct":[58],"augmentation":[60,95,105,118,125],"in":[61,119],"feature":[63,67,94,104,117,124,142],"space,":[64],"known":[65],"as":[66],"augmentation.":[68,109],"This":[69],"strategy":[70],"is":[71],"domain-agnostic,":[72],"which":[73],"augments":[74],"similar":[75],"features":[76],"original":[79],"ones":[80],"thus":[82],"improves":[83],"diversity.":[86],"We":[87],"perform":[88],"systematic":[90],"investigation":[91],"various":[93],"architectures,":[96],"gradient-flow":[98],"skill,":[99],"relationship":[102],"between":[103],"traditional":[107],"Our":[110],"study":[111],"reveals":[112],"some":[113],"practical":[114],"principles":[115],"self-contrastive":[120],"learning.":[121],"By":[122],"integrating":[123],"instance":[128,132],"discrimination":[129],"or":[130],"similarity":[133],"paradigm,":[134],"consistently":[136],"performance":[139],"gain":[145],"better":[146],"over":[148],"downstream":[150],"image":[151],"classification":[152],"object":[154],"detection":[155],"task.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
