{"id":"https://openalex.org/W4308236216","doi":"https://doi.org/10.1109/icip46576.2022.9897463","title":"COFENet: Co-Feature Neural Network Model for Fine-Grained Image Classification","display_name":"COFENet: Co-Feature Neural Network Model for Fine-Grained Image Classification","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308236216","doi":"https://doi.org/10.1109/icip46576.2022.9897463"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897463","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/A5079301699","display_name":"Bor-Shiun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bor-Shiun Wang","raw_affiliation_strings":["National Yang Ming Chiao Tung University,College of AI and Green Energy,Hsinchu,Taiwan","College of AI and Green Energy, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,College of AI and Green Energy,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"College of AI and Green Energy, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007240491","display_name":"Jun-Wei Hsieh","orcid":"https://orcid.org/0000-0003-4729-0730"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jun-Wei Hsieh","raw_affiliation_strings":["National Yang Ming Chiao Tung University,College of AI and Green Energy,Hsinchu,Taiwan","College of AI and Green Energy, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,College of AI and Green Energy,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"College of AI and Green Energy, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080899738","display_name":"Yi-Kuan Hsieh","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Kuan Hsieh","raw_affiliation_strings":["National Yang Ming Chiao Tung University,College of AI and Green Energy,Hsinchu,Taiwan","College of AI and Green Energy, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,College of AI and Green Energy,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"College of AI and Green Energy, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101834543","display_name":"Ping-Yang Chen","orcid":"https://orcid.org/0000-0002-9834-3671"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ping-Yang Chen","raw_affiliation_strings":["National Yang Ming Chiao Tung University,College of AI and Green Energy,Hsinchu,Taiwan","College of AI and Green Energy, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,College of AI and Green Energy,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"College of AI and Green Energy, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.177,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.51402002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3928","last_page":"3932"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9977999925613403,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9977999925613403,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9965999722480774,"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":0.7477445602416992},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7284709215164185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7138457298278809},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6784969568252563},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6589219570159912},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6044566035270691},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.6021945476531982},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5733014345169067},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4986402988433838},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.494293212890625},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4671432673931122},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.46507689356803894},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43127211928367615},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4124363362789154},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4118076264858246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15079575777053833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7477445602416992},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7284709215164185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7138457298278809},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6784969568252563},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6589219570159912},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6044566035270691},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6021945476531982},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5733014345169067},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4986402988433838},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.494293212890625},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4671432673931122},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.46507689356803894},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43127211928367615},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4124363362789154},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4118076264858246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15079575777053833},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897463","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1616262590","https://openalex.org/W2100860054","https://openalex.org/W2125148312","https://openalex.org/W2170653751","https://openalex.org/W2731821979","https://openalex.org/W2773475231","https://openalex.org/W2794825826","https://openalex.org/W2963069818","https://openalex.org/W2963393555","https://openalex.org/W2963946669","https://openalex.org/W2964416181","https://openalex.org/W2986456235","https://openalex.org/W3034217686","https://openalex.org/W3035121735","https://openalex.org/W3046605870","https://openalex.org/W3102431071","https://openalex.org/W3102785203","https://openalex.org/W6766394743","https://openalex.org/W6767612737"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W4221148444","https://openalex.org/W4387678054","https://openalex.org/W2389596151","https://openalex.org/W3095575180","https://openalex.org/W4306784355","https://openalex.org/W2169308097","https://openalex.org/W4246226292","https://openalex.org/W3091984855","https://openalex.org/W2150768546"],"abstract_inverted_index":{"It":[0],"is":[1],"challenging":[2],"to":[3,100,112],"classify":[4],"patterns":[5],"with":[6,18],"small":[7,20],"inter-class":[8,129],"variations":[9,13],"but":[10],"large":[11],"intra-class":[12,127],"especially":[14],"for":[15,36,123],"textured":[16],"objects":[17],"relatively":[19],"sizes":[21],"and":[22,79,107,117,128],"blurry":[23],"boundaries.":[24],"We":[25,98],"propose":[26,99],"the":[27,63,73,76,83,89,93,105],"Co-Feature":[28],"Network":[29],"(COFENet),":[30],"a":[31],"novel":[32],"deep":[33],"learning":[34,125],"network":[35],"fine-grained":[37],"texture-based":[38],"image":[39,90],"classification.":[40],"State-of-the-art":[41],"(SoTA)":[42],"methods":[43],"on":[44,48],"this":[45],"mostly":[46],"rely":[47],"feature":[49,77,121],"concatenation":[50],"by":[51],"merging":[52],"convolutional":[53],"features":[54,67,94,106],"into":[55],"fully":[56],"connected":[57],"layers.":[58],"Some":[59],"existing":[60],"work":[61],"explored":[62],"variation":[64],"between":[65],"pair-wise":[66],"during":[68],"learning,":[69],"they":[70],"only":[71],"considered":[72],"relations":[74,87,119],"in":[75],"channels,":[78],"did":[80],"not":[81],"explore":[82],"spatial":[84,110],"or":[85],"structural":[86],"among":[88,104,120],"regions":[91],"where":[92],"are":[95],"extracted":[96],"from.":[97],"leverage":[101],"such":[102],"information":[103],"their":[108],"relative":[109],"layouts":[111],"capture":[113],"richer":[114],"pairwise,":[115],"orientationwise,":[116],"distancewise":[118],"channels":[122],"end-to-end":[124],"of":[126],"variations.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
