{"id":"https://openalex.org/W4386598552","doi":"https://doi.org/10.1109/icip49359.2023.10222599","title":"Ladder Siamese Network: A Method and Insights for Multi-Level Self-Supervised Learning","display_name":"Ladder Siamese Network: A Method and Insights for Multi-Level Self-Supervised Learning","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386598552","doi":"https://doi.org/10.1109/icip49359.2023.10222599"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222599","doi":"https://doi.org/10.1109/icip49359.2023.10222599","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222599","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2211.13844","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026866776","display_name":"Ryota Yoshihashi","orcid":"https://orcid.org/0000-0002-1194-9663","observed_orcids":["https://orcid.org/0000-0002-1194-9663"]},"institutions":[{"id":"https://openalex.org/I4405264503","display_name":"Yahoo Japan Corp. (Japan)","ror":"https://ror.org/024t8ay66","country_code":"JP","type":"company","lineage":["https://openalex.org/I4405264503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryota Yoshihashi","raw_affiliation_strings":["Yahoo Japan Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Japan Corporation","institution_ids":["https://openalex.org/I4405264503"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shuhei Nishimura","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405264503","display_name":"Yahoo Japan Corp. (Japan)","ror":"https://ror.org/024t8ay66","country_code":"JP","type":"company","lineage":["https://openalex.org/I4405264503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuhei Nishimura","raw_affiliation_strings":["Yahoo Japan Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Japan Corporation","institution_ids":["https://openalex.org/I4405264503"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004453928","display_name":"Dai Yonebayashi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405264503","display_name":"Yahoo Japan Corp. (Japan)","ror":"https://ror.org/024t8ay66","country_code":"JP","type":"company","lineage":["https://openalex.org/I4405264503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Dai Yonebayashi","raw_affiliation_strings":["Yahoo Japan Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Japan Corporation","institution_ids":["https://openalex.org/I4405264503"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017423146","display_name":"Yuya Otsuka","orcid":"https://orcid.org/0000-0003-4535-055X","observed_orcids":["https://orcid.org/0000-0003-4535-055X"]},"institutions":[{"id":"https://openalex.org/I4405264503","display_name":"Yahoo Japan Corp. (Japan)","ror":"https://ror.org/024t8ay66","country_code":"JP","type":"company","lineage":["https://openalex.org/I4405264503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuya Otsuka","raw_affiliation_strings":["Yahoo Japan Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Japan Corporation","institution_ids":["https://openalex.org/I4405264503"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009756622","display_name":"Tomohiro Tanaka","orcid":"https://orcid.org/0000-0001-7442-4912","observed_orcids":["https://orcid.org/0000-0001-7442-4912"]},"institutions":[{"id":"https://openalex.org/I4405264503","display_name":"Yahoo Japan Corp. (Japan)","ror":"https://ror.org/024t8ay66","country_code":"JP","type":"company","lineage":["https://openalex.org/I4405264503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Tanaka","raw_affiliation_strings":["Yahoo Japan Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Japan Corporation","institution_ids":["https://openalex.org/I4405264503"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100594278","display_name":"Takashi Miyazaki","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405264503","display_name":"Yahoo Japan Corp. (Japan)","ror":"https://ror.org/024t8ay66","country_code":"JP","type":"company","lineage":["https://openalex.org/I4405264503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Miyazaki","raw_affiliation_strings":["Yahoo Japan Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Japan Corporation","institution_ids":["https://openalex.org/I4405264503"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405264503"],"apc_list":null,"apc_paid":null,"fwci":0.4419,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61338946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"33","issue":null,"first_page":"211","last_page":"215"},"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":0.9814000129699707,"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":0.9814000129699707,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.013399999588727951,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.0012000000569969416,"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/siamese-network","display_name":"Siamese network","score":0.9150000214576721},{"id":"https://openalex.org/keywords/non-contrastive-learning","display_name":"non-contrastive learning","score":0.7379999756813049},{"id":"https://openalex.org/keywords/byol","display_name":"BYOL","score":0.7699999809265137},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.7639999985694885},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.6520000100135803},{"id":"https://openalex.org/keywords/semantic-segmentation","display_name":"semantic segmentation","score":0.8899999856948853},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.7129999995231628}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8112783432006836},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.6743651032447815},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5903398990631104},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5712049007415771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.570156991481781},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4709383249282837},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4269663989543915},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.1893991231918335},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip49359.2023.10222599","doi":"https://doi.org/10.1109/icip49359.2023.10222599","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222599","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2211.13844","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.13844","pdf_url":"https://arxiv.org/pdf/2211.13844","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2211.13844","doi":"https://doi.org/10.48550/arxiv.2211.13844","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2211.13844","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2211.13844","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.13844","pdf_url":"https://arxiv.org/pdf/2211.13844","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386598552.pdf","grobid_xml":"https://content.openalex.org/works/W4386598552.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W830076066","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W1991367009","https://openalex.org/W2031489346","https://openalex.org/W2088049833","https://openalex.org/W2108598243","https://openalex.org/W2150593711","https://openalex.org/W2194775991","https://openalex.org/W2214352687","https://openalex.org/W2340897893","https://openalex.org/W2518108298","https://openalex.org/W2565639579","https://openalex.org/W2757910899","https://openalex.org/W2952229419","https://openalex.org/W2953139137","https://openalex.org/W2962843773","https://openalex.org/W2963150697","https://openalex.org/W2991391304","https://openalex.org/W3005680577","https://openalex.org/W3009561768","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3036224891","https://openalex.org/W3128661784","https://openalex.org/W3135958856","https://openalex.org/W3137901979","https://openalex.org/W3149106692","https://openalex.org/W3167387588","https://openalex.org/W3168822201","https://openalex.org/W3171007011","https://openalex.org/W3172615411","https://openalex.org/W4221166941","https://openalex.org/W4226330622","https://openalex.org/W4226450251","https://openalex.org/W4312295999","https://openalex.org/W4312742492","https://openalex.org/W4312972416"],"related_works":["https://openalex.org/W4386076385","https://openalex.org/W4390873788","https://openalex.org/W4312891522","https://openalex.org/W4280500786","https://openalex.org/W4417070150","https://openalex.org/W4225531294","https://openalex.org/W4327559548","https://openalex.org/W7127915925","https://openalex.org/W4411245099","https://openalex.org/W7133210510"],"abstract_inverted_index":{"In":[0,113],"Siamese-network-based":[1],"self-supervised":[2,90],"learning":[3],"(SSL),":[4],"multilevel":[5],"supervision":[6],"(MLS)":[7],"is":[8],"a":[9,76,145],"natural":[10],"extension":[11],"to":[12,26,63],"enforce":[13],"intermediate":[14],"representations\u2019":[15],"consistency":[16],"against":[17],"data":[18],"augmentations.":[19],"Although":[20],"existing":[21],"studies":[22],"have":[23],"incorporated":[24],"MLS":[25,37,48,68,79],"boost":[27],"their":[28],"system":[29],"performances":[30,126],"in":[31,104,127,135],"combination":[32],"with":[33,59,85,115],"other":[34],"ideas,":[35],"vanilla":[36],"has":[38,55],"not":[39],"been":[40],"deeply":[41],"analyzed.":[42],"Here,":[43],"we":[44,74],"extensively":[45],"investigate":[46],"how":[47,51],"works":[49],"and":[50,88,107,124],"much":[52],"impact":[53],"it":[54],"on":[56],"SSL":[57],"performance":[58],"various":[60],"training":[61,91],"settings":[62],"understand":[64],"the":[65,96,116,141],"effectiveness":[66],"of":[67,137],"by":[69,110],"itself.":[70],"For":[71],"this":[72],"investigation,":[73],"develop":[75],"simple":[77],"Siamese-SSL-based":[78],"framework":[80,98],"Ladder":[81],"Siamese":[82],"Network,":[83],"equipped":[84],"multi-level,":[86],"non-contrastive,":[87],"global/local":[89],"losses.":[92],"We":[93],"show":[94],"that":[95],"proposed":[97],"can":[99],"simultaneously":[100],"improve":[101],"BYOL":[102],"baselines":[103],"classification,":[105],"detection,":[106],"segmentation":[108],"solely":[109],"adding":[111],"MLS.":[112],"comparison":[114],"state-of-the-art":[117],"methods,":[118],"our":[119],"Ladder-based":[120],"model":[121],"achieves":[122],"competitive":[123],"balanced":[125],"all":[128],"tested":[129],"benchmarks":[130],"without":[131],"causing":[132],"large":[133],"degradation":[134],"any":[136],"them,":[138],"which":[139],"suggests":[140],"usability":[142],"for":[143],"building":[144],"multi-purpose":[146],"backbone.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-09-12T00:00:00"}