{"id":"https://openalex.org/W4365455231","doi":"https://doi.org/10.3390/rs15082040","title":"MTCSNet: Mean Teachers Cross-Supervision Network for Semi-Supervised Cloud Detection","display_name":"MTCSNet: Mean Teachers Cross-Supervision Network for Semi-Supervised Cloud Detection","publication_year":2023,"publication_date":"2023-04-12","ids":{"openalex":"https://openalex.org/W4365455231","doi":"https://doi.org/10.3390/rs15082040"},"language":"en","primary_location":{"id":"doi:10.3390/rs15082040","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15082040","pdf_url":"https://www.mdpi.com/2072-4292/15/8/2040/pdf?version=1681301953","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/8/2040/pdf?version=1681301953","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032440331","display_name":"Zongrui Li","orcid":"https://orcid.org/0009-0003-2847-7687"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongrui Li","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015083158","display_name":"Jun Pan","orcid":"https://orcid.org/0000-0001-6756-0692"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Pan","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068807149","display_name":"Zhuoer Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoer Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742710","display_name":"Mi Wang","orcid":"https://orcid.org/0000-0003-2799-5987"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mi Wang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044446653","display_name":"Likun Liu","orcid":"https://orcid.org/0000-0002-0330-2683"},"institutions":[{"id":"https://openalex.org/I4210129465","display_name":"Wuhan Ship Development & Design Institute","ror":"https://ror.org/02mcdae06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129465"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Likun Liu","raw_affiliation_strings":["China Ship Development and Design Center, 268 Zhangzhidong Road, Wuhan 430064, China"],"affiliations":[{"raw_affiliation_string":"China Ship Development and Design Center, 268 Zhangzhidong Road, Wuhan 430064, China","institution_ids":["https://openalex.org/I4210129465"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015083158"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.5928,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67564429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"15","issue":"8","first_page":"2040","last_page":"2040"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9988999962806702,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9988999962806702,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9976999759674072,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7782106399536133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7630643248558044},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6597436666488647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4924536645412445},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.4603843688964844},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.42424076795578003},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4158029556274414},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38656216859817505},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3266308605670929},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2924153208732605},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10796904563903809}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7782106399536133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7630643248558044},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6597436666488647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4924536645412445},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.4603843688964844},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.42424076795578003},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4158029556274414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38656216859817505},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3266308605670929},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2924153208732605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10796904563903809},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15082040","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15082040","pdf_url":"https://www.mdpi.com/2072-4292/15/8/2040/pdf?version=1681301953","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4fa20ee99f124634827139740ffa2a96","is_oa":true,"landing_page_url":"https://doaj.org/article/4fa20ee99f124634827139740ffa2a96","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 8, p 2040 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/8/2040/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15082040","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 8; Pages: 2040","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15082040","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15082040","pdf_url":"https://www.mdpi.com/2072-4292/15/8/2040/pdf?version=1681301953","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G1356514951","display_name":null,"funder_award_id":"41971","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2478043733","display_name":null,"funder_award_id":"2020CFA001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2818559028","display_name":null,"funder_award_id":"209001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2870525900","display_name":null,"funder_award_id":"Wuhan","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G339156801","display_name":null,"funder_award_id":"2020CFA001","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G3911768484","display_name":null,"funder_award_id":"2020BIB006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6612286638","display_name":null,"funder_award_id":"41971422","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6804958431","display_name":null,"funder_award_id":"Wuhan","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G7891852649","display_name":null,"funder_award_id":"42090011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311401","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320324116","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17"},{"id":"https://openalex.org/F4320326938","display_name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing","ror":"https://ror.org/02bpap860"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4365455231.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1976978666","https://openalex.org/W2019812041","https://openalex.org/W2055718260","https://openalex.org/W2340897893","https://openalex.org/W2584156879","https://openalex.org/W2592691248","https://openalex.org/W2618011341","https://openalex.org/W2748715875","https://openalex.org/W2898219846","https://openalex.org/W2900733456","https://openalex.org/W2901919187","https://openalex.org/W2910101086","https://openalex.org/W2923782278","https://openalex.org/W2945778316","https://openalex.org/W2946072066","https://openalex.org/W2949959536","https://openalex.org/W2979481925","https://openalex.org/W2984033187","https://openalex.org/W2985601188","https://openalex.org/W2992172495","https://openalex.org/W3005463638","https://openalex.org/W3028160024","https://openalex.org/W3035600434","https://openalex.org/W3035680157","https://openalex.org/W3044128442","https://openalex.org/W3091812030","https://openalex.org/W3092732850","https://openalex.org/W3130494073","https://openalex.org/W3134042600","https://openalex.org/W3146742937","https://openalex.org/W3157653192","https://openalex.org/W3163222380","https://openalex.org/W3171581326","https://openalex.org/W3172949220","https://openalex.org/W3194376449","https://openalex.org/W3195975500","https://openalex.org/W3205916413","https://openalex.org/W3217062060","https://openalex.org/W4200284523","https://openalex.org/W4210847275","https://openalex.org/W4214681150","https://openalex.org/W4223547253","https://openalex.org/W4281999648","https://openalex.org/W6791218595","https://openalex.org/W6792801927","https://openalex.org/W6800255364","https://openalex.org/W6802969443"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W2802581102","https://openalex.org/W2994927414"],"abstract_inverted_index":{"Cloud":[0],"detection":[1,17,50,58,73,214,245],"methods":[2],"based":[3,220],"on":[4,8,25,70,164,184,221,238],"deep":[5],"learning":[6],"depend":[7],"large":[9],"and":[10,68,135,159,180,204,232,241],"reliable":[11],"training":[12,31,209],"datasets":[13,246],"to":[14,43,100,176],"achieve":[15],"high":[16],"accuracy.":[18],"There":[19],"will":[20],"be":[21],"a":[22,47,197,259],"significant":[23],"impact":[24],"their":[26],"performance,":[27],"however":[28],"when":[29,36,257],"the":[30,37,53,84,91,95,125,131,144,146,169,174,185,188,202,208,211,217,227,234,239,249],"data":[32,162],"are":[33,78,105,265],"insufficient":[34],"or":[35],"label":[38],"quality":[39],"is":[40,61],"low.":[41],"Thus,":[42],"alleviate":[44],"this":[45],"problem,":[46],"semi-supervised":[48,205,230,255],"cloud":[49,57,72,213,244],"method,":[51],"named":[52],"mean":[54],"teacher":[55,97,121],"cross-supervision":[56],"network":[59,75,122,128,215],"(MTCSNet)":[60],"proposed.":[62],"This":[63,172],"method":[64,112,148,251],"enforces":[65],"both":[66],"consistency":[67,182],"accuracy":[69],"two":[71,92],"student":[74,93,127,170],"branches,":[76,94,98],"which":[77],"perturbed":[79],"with":[80,130],"different":[81,193],"initializations,":[82],"for":[83],"same":[85,189],"input":[86],"image.":[87],"For":[88],"each":[89],"of":[90,153,187,229,262],"respective":[96],"used":[99],"generate":[101],"high-quality":[102],"pseudo":[103,115],"labels,":[104],"constructed":[106],"using":[107],"an":[108],"exponential":[109],"moving":[110],"average":[111],"(EMA).":[113],"A":[114],"one-hot":[116],"label,":[117],"produced":[118],"by":[119],"one":[120],"branch,":[123],"supervises":[124],"other":[126],"branch":[129],"standard":[132],"cross-entropy":[133],"loss,":[134],"vice":[136],"versa.":[137],"To":[138,195],"incorporate":[139],"additional":[140],"prior":[141],"information":[142],"into":[143,168],"model,":[145],"presented":[147],"uses":[149],"near-infrared":[150],"bands":[151,155],"instead":[152],"red":[154],"as":[156],"model":[157,175],"inputs":[158],"injects":[160],"strong":[161],"augmentations":[163],"unlabeled":[165,190],"images":[166],"fed":[167],"model.":[171],"induces":[173],"learn":[177],"richer":[178],"representations":[179],"ensure":[181],"constraints":[183],"predictions":[186],"image":[191],"across":[192],"batches.":[194],"attain":[196],"more":[198],"refined":[199],"equilibrium":[200],"between":[201],"supervised":[203],"loss":[206],"in":[207],"process,":[210],"proposed":[212,250],"learns":[216],"optimal":[218],"weights":[219],"homoscedastic":[222],"uncertainty,":[223],"thus":[224],"effectively":[225],"exploiting":[226],"advantages":[228],"tasks":[231],"elevating":[233],"overall":[235],"performance.":[236],"Experiments":[237],"SPARCS":[240],"GF1-WHU":[242],"public":[243],"show":[247],"that":[248],"outperforms":[252],"several":[253],"state-of-the-art":[254],"algorithms":[256],"only":[258],"limited":[260],"number":[261],"labeled":[263],"samples":[264],"available.":[266]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-20T07:46:08.049788","created_date":"2023-04-15T00:00:00"}
