{"id":"https://openalex.org/W4408355815","doi":"https://doi.org/10.1109/icassp49660.2025.10888879","title":"MLNet: Mutual Learning Network to Improve Self-Supervised Representation for Fine-Grained Visual Recognition","display_name":"MLNet: Mutual Learning Network to Improve Self-Supervised Representation for Fine-Grained Visual Recognition","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355815","doi":"https://doi.org/10.1109/icassp49660.2025.10888879"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5033792593","display_name":"Peipei Zhao","orcid":"https://orcid.org/0000-0002-2275-2495"},"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":"Peipei Zhao","raw_affiliation_strings":["Xidian University,School of Computer Science and Technology,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,School of Computer Science and Technology,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621285","display_name":"Jiaxuan Wang","orcid":"https://orcid.org/0000-0002-9311-1513"},"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":"Jiaxuan Wang","raw_affiliation_strings":["Xidian University,School of Computer Science and Technology,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,School of Computer Science and Technology,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032115074","display_name":"Zixiang Lu","orcid":"https://orcid.org/0000-0003-2743-2017"},"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":"Zixiang Lu","raw_affiliation_strings":["Xidian University,School of Computer Science and Technology,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,School of Computer Science and Technology,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103213763","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":["Xidian University,School of Computer Science and Technology,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,School of Computer Science and Technology,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02783843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8730999827384949,"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/T10320","display_name":"Neural Networks and Applications","score":0.8730999827384949,"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":0.7669628262519836},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5429328680038452},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5056447982788086},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.47969576716423035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35172736644744873},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3405640125274658}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7669628262519836},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5429328680038452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5056447982788086},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.47969576716423035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35172736644744873},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3405640125274658},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":32,"referenced_works":["https://openalex.org/W2138011018","https://openalex.org/W2194775991","https://openalex.org/W2620998106","https://openalex.org/W2962858109","https://openalex.org/W2963393555","https://openalex.org/W2963446712","https://openalex.org/W2997809650","https://openalex.org/W3035524453","https://openalex.org/W3145450063","https://openalex.org/W3159481202","https://openalex.org/W3160314846","https://openalex.org/W3171007011","https://openalex.org/W3176276772","https://openalex.org/W3195399086","https://openalex.org/W3198680251","https://openalex.org/W3204826552","https://openalex.org/W4214597897","https://openalex.org/W4312361652","https://openalex.org/W4321021073","https://openalex.org/W4323240248","https://openalex.org/W4382239283","https://openalex.org/W4386057726","https://openalex.org/W4386076260","https://openalex.org/W4390190409","https://openalex.org/W4394593100","https://openalex.org/W6638319203","https://openalex.org/W6638677478","https://openalex.org/W6774314701","https://openalex.org/W6779997284","https://openalex.org/W6784333009","https://openalex.org/W6791742336","https://openalex.org/W6795754764"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"High-quality":[0],"annotation":[1],"of":[2,24],"fine-grained":[3,17,47,67,161],"visual":[4,18,48,162],"categorization":[5,49],"requires":[6],"extensive":[7],"professional":[8],"knowledge,":[9],"which":[10],"is":[11,93],"time-consuming":[12],"and":[13,105,169,186],"laborious.":[14],"Therefore,":[15],"learning":[16,29,41,57,79,176,181],"representations":[19],"from":[20,150],"a":[21,32,77,139],"large":[22],"number":[23],"unlabeled":[25],"images":[26],"through":[27],"self-supervised":[28,40,56,180],"has":[30],"become":[31],"popular":[33],"alternative":[34],"solution":[35],"recently.":[36],"However,":[37],"the":[38,63,83,174],"existing":[39],"methods":[42,182],"are":[43,59,158],"not":[44],"effective":[45],"in":[46,66,183],"since":[50],"many":[51],"features":[52],"helpful":[53],"for":[54],"optimizing":[55],"objectives":[58],"unsuited":[60],"to":[61,81,94,128,146,153,160],"characterize":[62],"subtle":[64],"differences":[65],"viusal":[68],"recognition.":[69,163],"To":[70],"deal":[71],"with":[72],"this":[73],"issue,":[74],"we":[75,136],"propose":[76],"mutual":[78,175],"network":[80,177],"enhance":[82],"model\u2019s":[84],"attention":[85,118],"towards":[86],"discriminative":[87,107,154],"semantic":[88,96,108,111,131,155],"features.":[89,132],"The":[90],"key":[91],"idea":[92],"consider":[95],"consistency":[97],"between":[98,120],"different":[99,121,151],"augmented":[100,122],"views":[101,123],"within":[102],"same":[103],"image":[104,187],"capture":[106,129],"information.":[109],"For":[110],"consistency,":[112],"our":[113,126,148],"research":[114],"demonstrates":[115],"that":[116,143,157,173],"cross-view":[117],"module":[119],"can":[124],"guide":[125],"model":[127,149],"similar":[130],"Based":[133],"on":[134,165],"this,":[135],"further":[137],"build":[138],"GradCAM-guided":[140],"multi-dimension":[141],"loss":[142],"utilize":[144],"GradCAM":[145],"control":[147],"dimensions":[152],"information":[156],"beneficial":[159],"Experiments":[164],"CUB-200-2011,":[166],"Stanford":[167],"Cars":[168],"Aircrafts":[170],"datasets":[171],"demonstrate":[172],"outperforms":[178],"previous":[179],"linear":[184],"probing":[185],"retrieval.":[188]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}