{"id":"https://openalex.org/W7147530457","doi":"https://doi.org/10.1109/icvisp68610.2025.11451252","title":"Boosting Mars Image Classification with Limited Labels: A Swin Transformer to ResNet Semi-Supervised Distillation Approach","display_name":"Boosting Mars Image Classification with Limited Labels: A Swin Transformer to ResNet Semi-Supervised Distillation Approach","publication_year":2025,"publication_date":"2025-11-28","ids":{"openalex":"https://openalex.org/W7147530457","doi":"https://doi.org/10.1109/icvisp68610.2025.11451252"},"language":null,"primary_location":{"id":"doi:10.1109/icvisp68610.2025.11451252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","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/A5132680086","display_name":"Weiming Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I169019527","display_name":"Quanzhou Normal University","ror":"https://ror.org/006ak0b38","country_code":"CN","type":"education","lineage":["https://openalex.org/I169019527"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiming Lin","raw_affiliation_strings":["Quanzhou Normal University,School of Mathematics and Computer Science,Quanzhou,China"],"affiliations":[{"raw_affiliation_string":"Quanzhou Normal University,School of Mathematics and Computer Science,Quanzhou,China","institution_ids":["https://openalex.org/I169019527"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132615075","display_name":"Ting Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I169019527","display_name":"Quanzhou Normal University","ror":"https://ror.org/006ak0b38","country_code":"CN","type":"education","lineage":["https://openalex.org/I169019527"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Zhang","raw_affiliation_strings":["Quanzhou Normal University,School of Mathematics and Computer Science,Quanzhou,China"],"affiliations":[{"raw_affiliation_string":"Quanzhou Normal University,School of Mathematics and Computer Science,Quanzhou,China","institution_ids":["https://openalex.org/I169019527"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100948989","display_name":"Xianxian Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I169019527","display_name":"Quanzhou Normal University","ror":"https://ror.org/006ak0b38","country_code":"CN","type":"education","lineage":["https://openalex.org/I169019527"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianxian Luo","raw_affiliation_strings":["Quanzhou Normal University,School of Mathematics and Computer Science,Quanzhou,China"],"affiliations":[{"raw_affiliation_string":"Quanzhou Normal University,School of Mathematics and Computer Science,Quanzhou,China","institution_ids":["https://openalex.org/I169019527"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045303340","display_name":"Wenxi Liu","orcid":"https://orcid.org/0000-0002-3630-6322"},"institutions":[{"id":"https://openalex.org/I169019527","display_name":"Quanzhou Normal University","ror":"https://ror.org/006ak0b38","country_code":"CN","type":"education","lineage":["https://openalex.org/I169019527"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxi Liu","raw_affiliation_strings":["Quanzhou Normal University,School of Mathematics and Computer Science,Quanzhou,China"],"affiliations":[{"raw_affiliation_string":"Quanzhou Normal University,School of Mathematics and Computer Science,Quanzhou,China","institution_ids":["https://openalex.org/I169019527"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002896929","display_name":"Yiyou Guo","orcid":"https://orcid.org/0000-0002-3497-6939"},"institutions":[{"id":"https://openalex.org/I169019527","display_name":"Quanzhou Normal University","ror":"https://ror.org/006ak0b38","country_code":"CN","type":"education","lineage":["https://openalex.org/I169019527"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyou Guo","raw_affiliation_strings":["Quanzhou Normal University,School of Mathematics and Computer Science,Quanzhou,China"],"affiliations":[{"raw_affiliation_string":"Quanzhou Normal University,School of Mathematics and Computer Science,Quanzhou,China","institution_ids":["https://openalex.org/I169019527"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5132680086"],"corresponding_institution_ids":["https://openalex.org/I169019527"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.77099997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10406","display_name":"Planetary Science and Exploration","score":0.8968999981880188,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10406","display_name":"Planetary Science and Exploration","score":0.8968999981880188,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.006099999882280827,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.004999999888241291,"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/boosting","display_name":"Boosting (machine learning)","score":0.717199981212616},{"id":"https://openalex.org/keywords/mars-exploration-program","display_name":"Mars Exploration Program","score":0.6811000108718872},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5963000059127808},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5254999995231628},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5058000087738037},{"id":"https://openalex.org/keywords/martian-surface","display_name":"Martian surface","score":0.44020000100135803},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.41200000047683716}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.717199981212616},{"id":"https://openalex.org/C83260615","wikidata":"https://www.wikidata.org/wiki/Q6773121","display_name":"Mars Exploration Program","level":2,"score":0.6811000108718872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.609499990940094},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5963000059127808},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5254999995231628},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5058000087738037},{"id":"https://openalex.org/C2776219924","wikidata":"https://www.wikidata.org/wiki/Q6774740","display_name":"Martian surface","level":4,"score":0.44020000100135803},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43529999256134033},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.41200000047683716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4097000062465668},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3928999900817871},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.27160000801086426},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.25870001316070557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icvisp68610.2025.11451252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334111","display_name":"Innovation Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2576938664","https://openalex.org/W2618530766","https://openalex.org/W2954996726","https://openalex.org/W3091002423","https://openalex.org/W3128041324","https://openalex.org/W3138516171","https://openalex.org/W4382927938","https://openalex.org/W4414344958","https://openalex.org/W4415428660"],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1],"focuses":[2],"on":[3,83,110,121],"high-precision":[4],"classification":[5,147],"of":[6,13,21,96,138],"Martian":[7],"surface":[8,87],"images":[9],"under":[10,79],"the":[11,19,43,50,84,97,100,125,136,139],"constraint":[12],"limited":[14],"annotated":[15],"data.":[16],"To":[17],"address":[18],"challenge":[20],"difficult":[22],"image":[23,88,146],"annotation,":[24],"we":[25],"propose":[26],"a":[27,37,46,66,113,150],"semi-supervised":[28,141],"teacher-student":[29],"learning":[30],"method":[31,101],"that":[32,91],"facilitates":[33],"knowledge":[34],"transfer":[35],"from":[36],"Swin":[38],"Transformer":[39],"Tiny":[40],"model":[41,48],"as":[42,49],"teacher":[44],"to":[45,60,76,104,117],"ResNet-18":[47],"student.":[51],"The":[52],"approach":[53],"incorporates":[54],"an":[55],"energy-based":[56],"dynamic":[57],"filtering":[58],"mechanism":[59],"select":[61],"reliable":[62],"pseudo-labels,":[63],"along":[64],"with":[65],"dual":[67],"data":[68],"augmentation":[69],"strategy":[70],"combining":[71],"weak":[72],"and":[73,112,148],"strong":[74],"transformations":[75],"enhance":[77],"robustness":[78],"label":[80],"scarcity.":[81],"Experiments":[82],"HiRISE":[85],"Mars":[86,145,154],"dataset":[89],"demonstrate":[90],"using":[92],"only":[93],"$20":[94],"\\%$":[95,106,109,120],"labeled":[98],"data,":[99],"achieves":[102],"up":[103,116],"$94.92":[105],"accuracy":[107],"($94.44":[108],"average)":[111],"macro":[114],"F1-score":[115],"$83.06":[118],"\\%(81.07":[119],"average),":[122],"significantly":[123],"outperforming":[124],"fully":[126],"supervised":[127],"baseline":[128],"while":[129],"maintaining":[130],"high":[131],"efficiency.":[132],"These":[133],"results":[134],"validate":[135],"efficacy":[137],"proposed":[140],"distillation":[142],"framework":[143],"for":[144,153],"offer":[149],"practical":[151],"tool":[152],"geological":[155],"analysis.":[156]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-04-02T00:00:00"}