{"id":"https://openalex.org/W4399039831","doi":"https://doi.org/10.1109/tmm.2024.3405713","title":"Few-Shot Fine-Grained Image Classification via Multi-Frequency Neighborhood and Double-Cross Modulation","display_name":"Few-Shot Fine-Grained Image Classification via Multi-Frequency Neighborhood and Double-Cross Modulation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399039831","doi":"https://doi.org/10.1109/tmm.2024.3405713"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3405713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3405713","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"type":"article","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/A5041328137","display_name":"Hegui Zhu","orcid":"https://orcid.org/0000-0002-6501-4097"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hegui Zhu","raw_affiliation_strings":["Department of Mathematics, College of Sciences, Northeastern University, Shenyang, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, College of Sciences, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101696207","display_name":"Zhan Gao","orcid":"https://orcid.org/0000-0003-4015-3928"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Gao","raw_affiliation_strings":["Department of Mathematics, College of Sciences, Northeastern University, Shenyang, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, College of Sciences, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449260","display_name":"Jiayi Wang","orcid":"https://orcid.org/0000-0002-1313-138X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Wang","raw_affiliation_strings":["Department of Mathematics, College of Sciences, Northeastern University, Shenyang, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, College of Sciences, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102623477","display_name":"Yange Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yange Zhou","raw_affiliation_strings":["Department of Mathematics, College of Sciences, Northeastern University, Shenyang, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, College of Sciences, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089601494","display_name":"Chengqing Li","orcid":"https://orcid.org/0000-0002-5385-7644"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengqing Li","raw_affiliation_strings":["MOE (Ministry of Education) Key Laboratory of Intelligent Computing and Information Processing, Xiangtan University, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"MOE (Ministry of Education) Key Laboratory of Intelligent Computing and Information Processing, Xiangtan University, Xiangtan, China","institution_ids":["https://openalex.org/I4610292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041328137"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":6.0179,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.9653706,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"26","issue":null,"first_page":"10264","last_page":"10278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14158","display_name":"Optical Systems and Laser Technology","score":0.9690999984741211,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9678000211715698,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7745522260665894},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6110810041427612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5128267407417297},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46670910716056824},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.4652118980884552},{"id":"https://openalex.org/keywords/frequency-modulation","display_name":"Frequency modulation","score":0.46353721618652344},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4579862356185913},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44118577241897583},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.423284113407135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4101119935512543},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.18752017617225647},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18179255723953247},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.08621275424957275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7745522260665894},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6110810041427612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5128267407417297},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46670910716056824},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.4652118980884552},{"id":"https://openalex.org/C11930861","wikidata":"https://www.wikidata.org/wiki/Q181417","display_name":"Frequency modulation","level":3,"score":0.46353721618652344},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4579862356185913},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44118577241897583},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.423284113407135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4101119935512543},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.18752017617225647},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18179255723953247},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.08621275424957275},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3405713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3405713","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G1382528836","display_name":null,"funder_award_id":"92267102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7866805382","display_name":null,"funder_award_id":"2020-MS-080","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"},{"id":"https://openalex.org/G861448368","display_name":null,"funder_award_id":"2023A1515140132","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W56385144","https://openalex.org/W2117539524","https://openalex.org/W2138011018","https://openalex.org/W2289708887","https://openalex.org/W2625674597","https://openalex.org/W2904218366","https://openalex.org/W2928798948","https://openalex.org/W2957105406","https://openalex.org/W2962895018","https://openalex.org/W2962987395","https://openalex.org/W2964105864","https://openalex.org/W2965572487","https://openalex.org/W2979689312","https://openalex.org/W2982121679","https://openalex.org/W2987748894","https://openalex.org/W2998792609","https://openalex.org/W3009073662","https://openalex.org/W3009081299","https://openalex.org/W3009864380","https://openalex.org/W3012255272","https://openalex.org/W3028797339","https://openalex.org/W3030401348","https://openalex.org/W3034312118","https://openalex.org/W3034771037","https://openalex.org/W3034827765","https://openalex.org/W3034978645","https://openalex.org/W3035163205","https://openalex.org/W3048134800","https://openalex.org/W3096805028","https://openalex.org/W3105338408","https://openalex.org/W3107763055","https://openalex.org/W3108975329","https://openalex.org/W3125736290","https://openalex.org/W3128452358","https://openalex.org/W3131362130","https://openalex.org/W3137611345","https://openalex.org/W3167827695","https://openalex.org/W3173908982","https://openalex.org/W3174159092","https://openalex.org/W3178756862","https://openalex.org/W3182707920","https://openalex.org/W3192575616","https://openalex.org/W3195219609","https://openalex.org/W3199011505","https://openalex.org/W4200548059","https://openalex.org/W4205277845","https://openalex.org/W4205536765","https://openalex.org/W4206240011","https://openalex.org/W4206984724","https://openalex.org/W4212869858","https://openalex.org/W4214562728","https://openalex.org/W4214666412","https://openalex.org/W4220752330","https://openalex.org/W4312500832","https://openalex.org/W4312771536","https://openalex.org/W4312935555","https://openalex.org/W4320001418","https://openalex.org/W6717697761","https://openalex.org/W6736057607","https://openalex.org/W6746260573","https://openalex.org/W6758126075","https://openalex.org/W6763367864","https://openalex.org/W6767471572","https://openalex.org/W6788840927","https://openalex.org/W6796540047"],"related_works":["https://openalex.org/W4387474130","https://openalex.org/W2004723848","https://openalex.org/W2086788376","https://openalex.org/W2093157008","https://openalex.org/W1518527075","https://openalex.org/W2162174235","https://openalex.org/W2143773860","https://openalex.org/W2068642629","https://openalex.org/W2012415775","https://openalex.org/W2054254129"],"abstract_inverted_index":{"Traditional":[0],"fine-grained":[1,20,55,158,200],"image":[2,201],"classification":[3,179,202],"relies":[4],"extensively":[5],"on":[6,156,185],"large-scale":[7],"training":[8],"samples":[9],"with":[10,135],"annotated":[11],"ground":[12],"truth.":[13],"However,":[14],"in":[15],"the":[16,37,43,48,104,119,146,186,195],"real":[17],"world,":[18],"some":[19,54],"categories":[21,56],"are":[22],"represented":[23],"by":[24,47,106,198],"only":[25],"a":[26,82,96],"few":[27],"available":[28],"images,":[29],"and":[30,90,109,124,130,138,183,189],"existing":[31],"few-shot":[32,163],"models":[33],"struggle":[34],"to":[35,68,133,140,173],"distinguish":[36],"subtle":[38,150],"differences":[39],"among":[40],"them.":[41],"Furthermore,":[42],"challenge":[44],"is":[45,101],"compounded":[46],"fact":[49],"that":[50,100,167],"intra-class":[51,114],"distances":[52,63],"for":[53,73,161],"can":[57],"be":[58,65],"significantly":[59],"large,":[60],"whereas":[61],"inter-class":[62,125,151],"might":[64],"minimal,":[66],"leading":[67],"distinct":[69],"task-specific":[70],"distinguishing":[71],"features":[72,132],"each":[74],"category.":[75],"To":[76],"address":[77],"these":[78],"challenges,":[79],"we":[80],"propose":[81],"novel":[83],"network,":[84],"FicNet,":[85],"utilizing":[86],"Multi-Frequency":[87],"Neighborhood":[88],"(MFN)":[89],"Double-Cross":[91],"Modulation":[92],"(DCM).":[93],"MFN":[94],"captures":[95],"multi-frequency":[97],"structure":[98],"representation":[99,120],"independent":[102],"of":[103,149,181],"background":[105],"integrating":[107],"spatial":[108],"frequency":[110],"domain":[111],"information,":[112],"reducing":[113],"distances.":[115],"Concurrently,":[116],"DCM":[117],"modulates":[118],"through":[121],"global":[122],"context":[123],"relationships,":[126],"enabling":[127],"both":[128],"support":[129],"query":[131],"align":[134],"complete":[136],"targets":[137],"respond":[139],"identical":[141],"parts.":[142],"This":[143],"approach":[144],"facilitates":[145],"accurate":[147],"identification":[148],"differences.":[152],"Comprehensive":[153],"experiments":[154],"conducted":[155],"three":[157],"benchmark":[159],"datasets":[160],"two":[162],"tasks":[164],"have":[165],"verified":[166],"FicNet":[168],"exhibits":[169],"exceptional":[170],"performance":[171],"compared":[172],"state-of-the-art":[174],"methods.":[175,203],"Notably,":[176],"it":[177],"achieves":[178],"accuracies":[180],"93.17%":[182],"95.36%":[184],"\u201cCaltech-UCSD":[187],"Birds\u201d":[188],"\u201cStanford":[190],"Cars\u201d":[191],"datasets,":[192],"respectively,":[193],"surpassing":[194],"benchmarks":[196],"set":[197],"general":[199]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
