{"id":"https://openalex.org/W4285017794","doi":"https://doi.org/10.1109/ivmsp54334.2022.9816250","title":"Adversarial deep features for weakly supervised document image keyword spotting","display_name":"Adversarial deep features for weakly supervised document image keyword spotting","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4285017794","doi":"https://doi.org/10.1109/ivmsp54334.2022.9816250"},"language":"en","primary_location":{"id":"doi:10.1109/ivmsp54334.2022.9816250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivmsp54334.2022.9816250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)","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/A5029013036","display_name":"Angelos P. Giotis","orcid":"https://orcid.org/0000-0001-7986-2460"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Angelos P. Giotis","raw_affiliation_strings":["University of Ioannina,Department of Computer Science and Engineering,Ioannina,Greece","Department of Computer Science and Engineering, University of Ioannina, Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"University of Ioannina,Department of Computer Science and Engineering,Ioannina,Greece","institution_ids":["https://openalex.org/I194019607"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039126972","display_name":"Giorgos Sfikas","orcid":"https://orcid.org/0000-0002-7305-2886"},"institutions":[{"id":"https://openalex.org/I4210094138","display_name":"University of West Attica","ror":"https://ror.org/00r2r5k05","country_code":"GR","type":"education","lineage":["https://openalex.org/I4210094138"]},{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Giorgos Sfikas","raw_affiliation_strings":["University of Ioannina,Department of Computer Science and Engineering,Ioannina,Greece","Department of Surveying and Geoinformatics Engineering, University of West Attica, Greece","Department of Computer Science and Engineering, University of Ioannina, Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"University of Ioannina,Department of Computer Science and Engineering,Ioannina,Greece","institution_ids":["https://openalex.org/I194019607"]},{"raw_affiliation_string":"Department of Surveying and Geoinformatics Engineering, University of West Attica, Greece","institution_ids":["https://openalex.org/I4210094138"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058318737","display_name":"Christophoros Nikou","orcid":"https://orcid.org/0000-0003-1388-6915"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christophoros Nikou","raw_affiliation_strings":["University of Ioannina,Department of Computer Science and Engineering,Ioannina,Greece","Department of Computer Science and Engineering, University of Ioannina, Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"University of Ioannina,Department of Computer Science and Engineering,Ioannina,Greece","institution_ids":["https://openalex.org/I194019607"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029013036"],"corresponding_institution_ids":["https://openalex.org/I194019607"],"apc_list":null,"apc_paid":null,"fwci":0.398,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66058282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"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/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"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/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9973999857902527,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8495076298713684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8288854360580444},{"id":"https://openalex.org/keywords/keyword-spotting","display_name":"Keyword spotting","score":0.8241821527481079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7150444388389587},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5332163572311401},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5329061150550842},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4947337806224823},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4940345883369446},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46785834431648254},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4527169167995453},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.4509323835372925},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42743921279907227}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8495076298713684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8288854360580444},{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.8241821527481079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7150444388389587},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5332163572311401},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5329061150550842},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4947337806224823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4940345883369446},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46785834431648254},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4527169167995453},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.4509323835372925},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42743921279907227},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivmsp54334.2022.9816250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivmsp54334.2022.9816250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1686810756","https://openalex.org/W2053317383","https://openalex.org/W2099772385","https://openalex.org/W2179352600","https://openalex.org/W2594443378","https://openalex.org/W2783112212","https://openalex.org/W2786585087","https://openalex.org/W2787247660","https://openalex.org/W2810648379","https://openalex.org/W2963299454","https://openalex.org/W2963880074","https://openalex.org/W2963908984","https://openalex.org/W2966126763","https://openalex.org/W3098722327","https://openalex.org/W4320013936","https://openalex.org/W6618372016","https://openalex.org/W6637373629","https://openalex.org/W6748218095"],"related_works":["https://openalex.org/W2918559346","https://openalex.org/W3119978414","https://openalex.org/W2114097550","https://openalex.org/W2516975559","https://openalex.org/W2545741539","https://openalex.org/W3206647229","https://openalex.org/W4286904253","https://openalex.org/W2000885660","https://openalex.org/W1969408022","https://openalex.org/W2117995638"],"abstract_inverted_index":{"Keyword":[0],"spotting":[1],"(KWS)":[2],"aims":[3],"to":[4,24,31,47,66,81,90,123,135],"retrieve":[5],"all":[6],"instances":[7],"of":[8,20,41,85,99,110,113,146],"particular":[9],"keywords":[10],"in":[11,33],"a":[12,64,117,124],"document.":[13],"Modern":[14],"approaches":[15],"exploit":[16],"the":[17,86,97,100,111,137,144,147],"representational":[18],"power":[19],"convolutional":[21],"networks":[22,80],"(CNN)":[23],"produce":[25],"discriminative":[26,83],"word":[27],"image":[28],"representations":[29,94],"able":[30],"perform":[32],"challenging":[34],"multi-writer":[35],"conditions.":[36],"However,":[37],"they":[38],"require":[39],"lots":[40],"training":[42],"data":[43],"while":[44],"their":[45],"adaptivity":[46],"unknown":[48],"document":[49,120],"collections":[50],"when":[51],"little":[52,132],"or":[53],"no":[54],"annotations":[55,133],"exist":[56,134],"is":[57],"uncertain.":[58],"To":[59],"this":[60],"end,":[61],"we":[62],"utilize":[63],"CNN":[65],"extract":[67],"intermediate":[68],"layer":[69],"deep":[70,92,114],"features.":[71],"We":[72],"then":[73],"combine":[74],"adversarial":[75],"learning":[76],"with":[77,143],"spatial":[78],"transformer":[79],"obtain":[82],"deformations":[84],"feature":[87,93],"space":[88],"leading":[89],"compact":[91],"which":[95],"alleviate":[96],"adaptation":[98,112],"proposed":[101],"KWS":[102],"system":[103],"into":[104],"weakly":[105],"supervised":[106],"manuscripts.":[107],"Numerical":[108],"experiments":[109],"features":[115],"from":[116],"low":[118],"resource":[119],"collection":[121],"(GW)":[122],"much":[125],"more":[126],"diverse":[127],"target":[128],"dataset":[129],"(IAM)":[130],"where":[131],"fine-tune":[136],"original":[138],"model":[139],"are":[140],"on":[141],"par":[142],"state":[145],"art.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}