{"id":"https://openalex.org/W4308703323","doi":"https://doi.org/10.3390/rs14225675","title":"Consecutive Pre-Training: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain","display_name":"Consecutive Pre-Training: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain","publication_year":2022,"publication_date":"2022-11-10","ids":{"openalex":"https://openalex.org/W4308703323","doi":"https://doi.org/10.3390/rs14225675"},"language":"en","primary_location":{"id":"doi:10.3390/rs14225675","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14225675","pdf_url":"https://www.mdpi.com/2072-4292/14/22/5675/pdf?version=1668075607","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/2072-4292/14/22/5675/pdf?version=1668075607","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100688517","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0002-1769-9829"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085917066","display_name":"Peng Gao","orcid":"https://orcid.org/0000-0002-5176-628X"},"institutions":[{"id":"https://openalex.org/I4210162556","display_name":"Shangri-la Institute","ror":"https://ror.org/05e0fad36","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210162556"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Gao","raw_affiliation_strings":["Shang Hai AI Laboratory, Shanghai 100024, China"],"affiliations":[{"raw_affiliation_string":"Shang Hai AI Laboratory, Shanghai 100024, China","institution_ids":["https://openalex.org/I4210162556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709866","display_name":"Hao Dong","orcid":"https://orcid.org/0000-0002-5101-7430"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Dong","raw_affiliation_strings":["Center on Frontiers of Computing Studies (CFCS), School of Computer Science (CS), Peking University, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"Center on Frontiers of Computing Studies (CFCS), School of Computer Science (CS), Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023179941","display_name":"Yin Zhuang","orcid":"https://orcid.org/0000-0002-0443-1081"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yin Zhuang","raw_affiliation_strings":["Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059679943","display_name":"Guanqun Wang","orcid":"https://orcid.org/0000-0002-7850-8766"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanqun Wang","raw_affiliation_strings":["Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756628","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-5556-3896"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100327685","display_name":"He Chen","orcid":"https://orcid.org/0000-0003-4182-6493"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Chen","raw_affiliation_strings":["Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5023179941"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.9553,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.94397664,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"14","issue":"22","first_page":"5675","last_page":"5675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9994999766349792,"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/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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996999979019165,"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/computer-science","display_name":"Computer science","score":0.8192836046218872},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6795922517776489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5978527665138245},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5592482089996338},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5239460468292236},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4569457471370697},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4518827199935913},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4219967722892761},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42012718319892883},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4183172285556793},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36006659269332886}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8192836046218872},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6795922517776489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5978527665138245},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5592482089996338},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5239460468292236},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4569457471370697},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4518827199935913},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4219967722892761},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42012718319892883},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4183172285556793},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36006659269332886},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14225675","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14225675","pdf_url":"https://www.mdpi.com/2072-4292/14/22/5675/pdf?version=1668075607","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:6960feebb71d476eb2185399f360aa31","is_oa":true,"landing_page_url":"https://doaj.org/article/6960feebb71d476eb2185399f360aa31","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 14, Iss 22, p 5675 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/22/5675/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14225675","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 14; Issue 22; Pages: 5675","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14225675","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14225675","pdf_url":"https://www.mdpi.com/2072-4292/14/22/5675/pdf?version=1668075607","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":[{"display_name":"Quality Education","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G131739043","display_name":null,"funder_award_id":"B0201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3598382722","display_name":null,"funder_award_id":"62136001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4296138748","display_name":null,"funder_award_id":"62101046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4502230195","display_name":null,"funder_award_id":"2018-JCJQ-ZQ-046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6436041418","display_name":null,"funder_award_id":"T2012122","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4308703323.pdf","grobid_xml":"https://content.openalex.org/works/W4308703323.grobid-xml"},"referenced_works_count":89,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1491152520","https://openalex.org/W1525224174","https://openalex.org/W1861492603","https://openalex.org/W2005368619","https://openalex.org/W2037227137","https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2155893237","https://openalex.org/W2194775991","https://openalex.org/W2238499080","https://openalex.org/W2296151615","https://openalex.org/W2515866431","https://openalex.org/W2549139847","https://openalex.org/W2592962403","https://openalex.org/W2594177559","https://openalex.org/W2618530766","https://openalex.org/W2732026016","https://openalex.org/W2774244034","https://openalex.org/W2778539913","https://openalex.org/W2787630273","https://openalex.org/W2794377509","https://openalex.org/W2884822772","https://openalex.org/W2914928371","https://openalex.org/W2946948417","https://openalex.org/W2962749812","https://openalex.org/W2963150697","https://openalex.org/W2963857746","https://openalex.org/W2964309882","https://openalex.org/W2982220924","https://openalex.org/W2991488782","https://openalex.org/W2992240579","https://openalex.org/W3015063979","https://openalex.org/W3017622525","https://openalex.org/W3034238904","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3036224891","https://openalex.org/W3038948729","https://openalex.org/W3043257208","https://openalex.org/W3047889186","https://openalex.org/W3100859887","https://openalex.org/W3101627915","https://openalex.org/W3105577662","https://openalex.org/W3112898771","https://openalex.org/W3114606989","https://openalex.org/W3127010634","https://openalex.org/W3135367836","https://openalex.org/W3136987292","https://openalex.org/W3137165785","https://openalex.org/W3138516171","https://openalex.org/W3139236157","https://openalex.org/W3144483443","https://openalex.org/W3145450063","https://openalex.org/W3175184835","https://openalex.org/W3176276772","https://openalex.org/W3196798006","https://openalex.org/W3199365085","https://openalex.org/W3201260569","https://openalex.org/W3201623325","https://openalex.org/W3203350115","https://openalex.org/W3207924272","https://openalex.org/W3207962952","https://openalex.org/W3213288046","https://openalex.org/W4210642697","https://openalex.org/W4214644404","https://openalex.org/W4221015298","https://openalex.org/W4226359564","https://openalex.org/W4285605548","https://openalex.org/W4312513332","https://openalex.org/W4312795296","https://openalex.org/W4312804044","https://openalex.org/W4312904550","https://openalex.org/W4313056800","https://openalex.org/W4313156423","https://openalex.org/W4315705623","https://openalex.org/W4367333248","https://openalex.org/W4386352556","https://openalex.org/W6689529190","https://openalex.org/W6779326418","https://openalex.org/W6779977557","https://openalex.org/W6779997284","https://openalex.org/W6784004416","https://openalex.org/W6791270578","https://openalex.org/W6797967018","https://openalex.org/W6801884820","https://openalex.org/W6802321102","https://openalex.org/W6807583345","https://openalex.org/W6913011054"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W3193920202","https://openalex.org/W4318813552","https://openalex.org/W2576964996"],"abstract_inverted_index":{"Currently,":[0],"under":[1],"supervised":[2,76],"learning,":[3],"a":[4,8,17,49,89,120],"model":[5,186,238,257],"pre-trained":[6],"by":[7,75,96,231],"large-scale":[9,59,71,156],"nature":[10,72,165],"scene":[11,73,166,206],"dataset":[12,56],"and":[13,40,52,78,103,114,122,154,210,214,222,264],"then":[14,79],"fine-tuned":[15],"on":[16,70,82,135,194,256],"few":[18],"specific":[19,161],"task":[20],"labeling":[21,263],"data":[22,39,44,157,183,219],"is":[23,47,93,132],"the":[24,62,111,136,151,172,178,233,245,249,267],"paradigm":[25],"that":[26,230],"has":[27],"dominated":[28],"knowledge":[29,124,158,251],"transfer":[30,125,155,252],"learning.":[31],"Unfortunately,":[32],"due":[33],"to":[34,57,87,159,168],"different":[35],"categories":[36],"of":[37,43,138,181,202,217],"imaging":[38,218],"stiff":[41],"challenges":[42],"annotation,":[45],"there":[46],"not":[48,139],"large":[50],"enough":[51],"uniform":[53],"remote":[54,63,196],"sensing":[55,64,197],"support":[58],"pre-training":[60,68,113,141,258],"in":[61,107,142,244],"domain":[65,101,152,162,167],"(RSD).":[66],"Moreover,":[67],"models":[69],"datasets":[74,198],"learning":[77,126,253],"directly":[80],"fine-tuning":[81],"diverse":[83],"downstream":[84,203,242],"tasks":[85,204,243],"seems":[86],"be":[88],"crude":[90],"method,":[91],"which":[92,147],"easily":[94],"affected":[95],"inevitable":[97],"incorrect":[98],"labeling,":[99],"severe":[100],"gaps":[102],"task-aware":[104,185,237],"discrepancies.":[105],"Thus,":[106],"this":[108],"paper,":[109],"considering":[110],"self-supervised":[112],"powerful":[115],"vision":[116],"transformer":[117],"(ViT)":[118],"architecture,":[119],"concise":[121],"effective":[123],"strategy":[127],"called":[128],"ConSecutive":[129],"Pre-Training":[130],"(CSPT)":[131],"proposed":[133,173,234],"based":[134,255],"idea":[137],"stopping":[140],"natural":[143],"language":[144],"processing":[145],"(NLP),":[146],"can":[148,176,247],"gradually":[149],"bridge":[150],"gap":[153],"any":[160,260,272],"(e.g.,":[163,205,220],"from":[164],"RSD)":[169],"In":[170],"addition,":[171],"CSPT":[174,235],"also":[175],"release":[177],"huge":[179],"potential":[180],"unlabeled":[182],"for":[184,236],"training.":[187],"Finally,":[188],"extensive":[189],"experiments":[190],"were":[191],"carried":[192],"out":[193],"twelve":[195],"involving":[199],"three":[200],"types":[201,216],"classification,":[207],"object":[208],"detection":[209],"land":[211],"cover":[212],"classification)":[213],"two":[215],"optical":[221],"synthetic":[223],"aperture":[224],"radar":[225],"(SAR)).":[226],"The":[227],"results":[228],"show":[229],"utilizing":[232],"training,":[239],"almost":[240],"all":[241],"RSD":[246],"outperform":[248],"previous":[250],"strategies":[254],"without":[259,271],"expensive":[261],"manually":[262],"even":[265],"surpass":[266],"state-of-the-art":[268],"(SOTA)":[269],"performance":[270],"careful":[273],"network":[274],"architecture":[275],"designing.":[276]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2022-11-14T00:00:00"}
