{"id":"https://openalex.org/W4295308382","doi":"https://doi.org/10.1109/tgrs.2022.3206208","title":"Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification","display_name":"Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4295308382","doi":"https://doi.org/10.1109/tgrs.2022.3206208"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3206208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3206208","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5013885739","display_name":"Jing Yao","orcid":"https://orcid.org/0000-0003-1301-9758"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Yao","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","Aerospace Information Research Institute, Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028103486","display_name":"Xiangyong Cao","orcid":"https://orcid.org/0000-0001-7912-3457"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyong Cao","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","Ministry of Education Key Lab For Intelligent Networks and Network Security, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Ministry of Education Key Lab For Intelligent Networks and Network Security, Xi'an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075013625","display_name":"Danfeng Hong","orcid":"https://orcid.org/0000-0002-3212-9584"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danfeng Hong","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","Aerospace Information Research Institute, Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761149","display_name":"Xin Wu","orcid":"https://orcid.org/0000-0002-1733-3560"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wu","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091017287","display_name":"Deyu Meng","orcid":"https://orcid.org/0000-0002-1294-8283"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Deyu Meng","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","Macau Institute of Systems Engineering, Macau University of Science and Technology, Taipa, Macau, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Macau Institute of Systems Engineering, Macau University of Science and Technology, Taipa, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["GIPSA-Laboratory, Grenoble INP, CNRS, University of Grenoble Alpes, Grenoble, France","Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"GIPSA-Laboratory, Grenoble INP, CNRS, University of Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113541537","display_name":"Zongben Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongben Xu","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5013885739"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":null,"apc_paid":null,"fwci":5.9715,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.96823882,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9807999730110168,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7681422829627991},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7542387247085571},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7417682409286499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7144862413406372},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6352202296257019},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48683828115463257},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.45373573899269104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.440900593996048},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4336523413658142},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42974650859832764},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3136047124862671},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1952109932899475}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7681422829627991},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7542387247085571},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7417682409286499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7144862413406372},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6352202296257019},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48683828115463257},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.45373573899269104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.440900593996048},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4336523413658142},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42974650859832764},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3136047124862671},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1952109932899475},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2022.3206208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3206208","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03932506v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03932506","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/9888139","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G2671423882","display_name":null,"funder_award_id":"61906151","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5484287860","display_name":null,"funder_award_id":"42271350","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6663658177","display_name":null,"funder_award_id":"62201553","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321048","display_name":"AXA Research Fund","ror":"https://ror.org/02zxqxw53"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W434012021","https://openalex.org/W1808881044","https://openalex.org/W1928626817","https://openalex.org/W1945689204","https://openalex.org/W1964335437","https://openalex.org/W2007621462","https://openalex.org/W2009539575","https://openalex.org/W2030476695","https://openalex.org/W2041478093","https://openalex.org/W2101365302","https://openalex.org/W2113464037","https://openalex.org/W2113513024","https://openalex.org/W2116699851","https://openalex.org/W2118246710","https://openalex.org/W2124244761","https://openalex.org/W2144438956","https://openalex.org/W2164315346","https://openalex.org/W2333549353","https://openalex.org/W2500751094","https://openalex.org/W2518831014","https://openalex.org/W2518897583","https://openalex.org/W2572303978","https://openalex.org/W2609880332","https://openalex.org/W2611452721","https://openalex.org/W2613575128","https://openalex.org/W2755992512","https://openalex.org/W2768975974","https://openalex.org/W2809113079","https://openalex.org/W2883606943","https://openalex.org/W2902746003","https://openalex.org/W2904854801","https://openalex.org/W2907147407","https://openalex.org/W2910655660","https://openalex.org/W2952565170","https://openalex.org/W2953303055","https://openalex.org/W2977355106","https://openalex.org/W2990128068","https://openalex.org/W2994639710","https://openalex.org/W3004925702","https://openalex.org/W3016659917","https://openalex.org/W3029812440","https://openalex.org/W3036200672","https://openalex.org/W3040988483","https://openalex.org/W3046027728","https://openalex.org/W3047443805","https://openalex.org/W3048631361","https://openalex.org/W3097353710","https://openalex.org/W3100714546","https://openalex.org/W3102692100","https://openalex.org/W3103294617","https://openalex.org/W3103695279","https://openalex.org/W3104313739","https://openalex.org/W3104795559","https://openalex.org/W3105298104","https://openalex.org/W3122774149","https://openalex.org/W3133902755","https://openalex.org/W3135445258","https://openalex.org/W3137191419","https://openalex.org/W3140885850","https://openalex.org/W3154512708","https://openalex.org/W3154593456","https://openalex.org/W3164781827","https://openalex.org/W3173051634","https://openalex.org/W3204305289","https://openalex.org/W3214821343","https://openalex.org/W4297664336","https://openalex.org/W6626606588","https://openalex.org/W6632007784","https://openalex.org/W6773005947"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W2963346891","https://openalex.org/W4360783045","https://openalex.org/W2770149305","https://openalex.org/W2795259429"],"abstract_inverted_index":{"Owing":[0],"to":[1,38,42,52,81,122,203],"the":[2,32,58,65,83,91,138,145,178,232],"powerful":[3],"data":[4,136],"representation":[5],"ability":[6,85],"of":[7,31,62,86,103,150,231],"deep":[8],"learning":[9,105],"(DL)":[10],"techniques,":[11,109],"tremendous":[12],"progress":[13],"has":[14,35],"been":[15,36],"recently":[16],"made":[17],"in":[18,64,208],"hyperspectral":[19],"image":[20],"(HSI)":[21],"classification.":[22,117],"Convolutional":[23],"neural":[24],"network":[25,66,180],"(CNN),":[26],"as":[27,111],"a":[28,53,124,128,212],"main":[29],"part":[30],"DL":[33],"family,":[34],"proven":[37],"be":[39,79],"considerably":[40],"effective":[41],"extract":[43],"spatial-spectral":[44],"features":[45],"for":[46,115],"HSIs.":[47],"Nevertheless,":[48],"its":[49],"classification":[50,92],"performance,":[51],"great":[54],"extent,":[55],"depends":[56],"on":[57,127,222],"quality":[59],"and":[60,88,106,133,155,167,173,195],"quantity":[61],"samples":[63,169],"training":[67],"process.":[68],"To":[69],"select":[70],"those":[71],"samples,":[72,147],"either":[73],"labeled":[74,131,166],"or":[75],"unlabeled,":[76],"that":[77],"can":[78],"used":[80],"enhance":[82],"generalization":[84],"CNNs":[87,99,113],"further":[89],"improve":[90],"accuracy,":[93],"we":[94,120],"propose":[95],"an":[96],"iterative":[97],"semi-supervised":[98],"framework":[100],"by":[101],"means":[102],"active":[104],"superpixel":[107,162],"segmentation":[108],"dubbed":[110],"semi-active":[112],"(SA-CNNs),":[114],"HSI":[116,225],"More":[118],"specifically,":[119],"start":[121],"pre-train":[123],"CNNs-based":[125],"model":[126],"small-scale":[129],"unbiased":[130],"set":[132],"infer":[134],"unlabeled":[135,168],"using":[137],"trained":[139],"model,":[140],"i.e.,":[141,186],"generating":[142],"pseudo-labels.":[143],"Then,":[144],"reliable":[146],"which":[148],"consist":[149],"two":[151],"parts:":[152],"high":[153],"label-homogeneity":[154],"most":[156],"informativeness,":[157],"are":[158,175,200,220],"actively":[159],"selected":[160,165],"from":[161],"segments.":[163],"These":[164],"with":[170],"their":[171,206],"labels":[172],"pseudo-labels":[174],"re-fed":[176],"into":[177],"next-round":[179],"training.":[181],"Moreover,":[182],"three":[183,223],"different":[184],"schedules,":[185],"<italic":[187,191,196],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[188,192,197],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">log</i>":[189],"-,":[190,194],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">exp</i>":[193],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">linear</i>":[198],"-schedules,":[199],"progressively":[201],"adopted":[202],"fully":[204],"explore":[205],"potentials":[207],"sample":[209],"selection,":[210],"until":[211],"labeling":[213],"budget":[214],"is":[215],"finally":[216],"reached.":[217],"Extensive":[218],"experiments":[219],"conducted":[221],"benchmark":[224],"datasets,":[226],"demonstrating":[227],"substantial":[228],"performance":[229],"improvements":[230],"proposed":[233],"SA-CNNs":[234],"over":[235],"other":[236],"similar":[237],"competitors.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}