{"id":"https://openalex.org/W4386590534","doi":"https://doi.org/10.1109/icip49359.2023.10222582","title":"Deep Active Learning Based on Saliency-Guided Data Augmentation for Image Classification","display_name":"Deep Active Learning Based on Saliency-Guided Data Augmentation for Image Classification","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386590534","doi":"https://doi.org/10.1109/icip49359.2023.10222582"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222582","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222582","pdf_url":null,"source":null,"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"},"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/A5114833204","display_name":"Ying Liu","orcid":"https://orcid.org/0000-0003-3983-9252"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Liu","raw_affiliation_strings":["Xi'an University of Posts &amp; Telecommunications,Shaanxi International Joint-Research Center for Wireless Communication and Information Processing, Center for Image and Information Processing,China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Posts &amp; Telecommunications,Shaanxi International Joint-Research Center for Wireless Communication and Information Processing, Center for Image and Information Processing,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030571011","display_name":"Yuliang Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Pang","raw_affiliation_strings":["Xi'an University of Posts &amp; Telecommunications,Shaanxi International Joint-Research Center for Wireless Communication and Information Processing, Center for Image and Information Processing,China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Posts &amp; Telecommunications,Shaanxi International Joint-Research Center for Wireless Communication and Information Processing, Center for Image and Information Processing,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100428755","display_name":"Weidong Zhang","orcid":"https://orcid.org/0000-0003-0081-930X"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Zhang","raw_affiliation_strings":["Xi'an University of Posts &amp; Telecommunications,Shaanxi International Joint-Research Center for Wireless Communication and Information Processing, Center for Image and Information Processing,China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Posts &amp; Telecommunications,Shaanxi International Joint-Research Center for Wireless Communication and Information Processing, Center for Image and Information Processing,China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5114833204"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.1751,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55858894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":1.0,"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/T12072","display_name":"Machine Learning and Algorithms","score":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9983000159263611,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9958000183105469,"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":0.8150797486305237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7338243722915649},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6045879125595093},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5245016813278198},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.5235766172409058},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.523358941078186},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5205722451210022},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4732416570186615},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4579665958881378},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.4412466883659363},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4179835617542267},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3833774924278259}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8150797486305237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7338243722915649},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6045879125595093},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5245016813278198},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.5235766172409058},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.523358941078186},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5205722451210022},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4732416570186615},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4579665958881378},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.4412466883659363},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4179835617542267},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3833774924278259},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222582","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222582","pdf_url":null,"source":null,"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2734358244","https://openalex.org/W2750384547","https://openalex.org/W2774918944","https://openalex.org/W2903158431","https://openalex.org/W2948210185","https://openalex.org/W2954318041","https://openalex.org/W2954996726","https://openalex.org/W2975761646","https://openalex.org/W2986514296","https://openalex.org/W3038964916","https://openalex.org/W3174894125","https://openalex.org/W3177330184","https://openalex.org/W3205626500","https://openalex.org/W4212890961","https://openalex.org/W6743688258","https://openalex.org/W6747231328","https://openalex.org/W6768297763","https://openalex.org/W6798832068","https://openalex.org/W6930891690"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W1978893398","https://openalex.org/W2201908702","https://openalex.org/W4381094582","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W1977906818","https://openalex.org/W2795259429","https://openalex.org/W2949671220","https://openalex.org/W1492505081"],"abstract_inverted_index":{"Image":[0],"classification":[1,118],"based":[2,59,79],"on":[3,60,80],"Deep":[4],"learning":[5,29,56,123],"usually":[6],"requires":[7],"a":[8,45,81,103],"large":[9],"amount":[10],"of":[11,21,27,35,54,69,147],"labeled":[12],"data":[13,22,41,63,77,133],"for":[14,42,127],"model":[15],"training.":[16],"However,":[17],"the":[18,33,52,67,70,88,94,99,112,117,121,128,136,140,145,148],"labeling":[19,37,43,74],"cost":[20,34,131],"is":[23,30,57,84,109],"expensive.":[24],"The":[25],"aim":[26],"active":[28,55,122],"to":[31,86,115,125],"reduce":[32],"manual":[36],"by":[38,132],"selecting":[39],"lesser":[40],"through":[44],"query":[46],"sampling":[47],"strategy.":[48],"In":[49,101],"this":[50],"paper,":[51],"framework":[53,142],"improved":[58],"saliency":[61,82],"guided":[62],"augmentation,":[64],"while":[65],"enhancing":[66],"generality":[68],"algorithm":[71,114,124],"and":[72],"reducing":[73],"cost.":[75],"Firstly,":[76],"augmentation":[78],"map":[83],"used":[85],"expand":[87],"sample":[89],"data,":[90],"which":[91],"can":[92,143],"retain":[93],"most":[95],"important":[96],"information":[97],"in":[98,120],"data.":[100],"addition,":[102],"low-computation":[104],"neural":[105],"network,":[106],"i.e.,":[107],"SpinalNet,":[108],"incorporated":[110],"into":[111],"proposed":[113,141],"optimize":[116],"network":[119],"compensate":[126],"increased":[129],"computational":[130],"augmentation.":[134],"Finally,":[135],"experiments":[137],"show":[138],"that":[139],"improve":[144],"performance":[146],"baseline.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
