{"id":"https://openalex.org/W4406457674","doi":"https://doi.org/10.1109/access.2025.3530445","title":"Advancing Trans-Domain Classification With Knowledge Distillation: Bridging LIDAR and Image Data","display_name":"Advancing Trans-Domain Classification With Knowledge Distillation: Bridging LIDAR and Image Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406457674","doi":"https://doi.org/10.1109/access.2025.3530445"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3530445","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3530445","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3530445","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039840422","display_name":"Jesus Eduardo Ort\u00edz","orcid":"https://orcid.org/0009-0009-0358-3284"},"institutions":[{"id":"https://openalex.org/I75778554","display_name":"Federico Santa Mar\u00eda Technical University","ror":"https://ror.org/05510vn56","country_code":"CL","type":"education","lineage":["https://openalex.org/I75778554"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Jesus Eduardo Ort\u00edz","raw_affiliation_strings":["Departamento de Electr&#x00F3;nica, Universidad T&#x00E9;cnica Federico Santa Mar&#x00ED;a, Valpara&#x00ED;so, Chile"],"raw_orcid":"https://orcid.org/0009-0009-0358-3284","affiliations":[{"raw_affiliation_string":"Departamento de Electr&#x00F3;nica, Universidad T&#x00E9;cnica Federico Santa Mar&#x00ED;a, Valpara&#x00ED;so, Chile","institution_ids":["https://openalex.org/I75778554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011482611","display_name":"Werner Creixell","orcid":"https://orcid.org/0000-0002-6647-6429"},"institutions":[{"id":"https://openalex.org/I75778554","display_name":"Federico Santa Mar\u00eda Technical University","ror":"https://ror.org/05510vn56","country_code":"CL","type":"education","lineage":["https://openalex.org/I75778554"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Werner Creixell","raw_affiliation_strings":["Departamento de Electr&#x00F3;nica, Universidad T&#x00E9;cnica Federico Santa Mar&#x00ED;a, Valpara&#x00ED;so, Chile"],"raw_orcid":"https://orcid.org/0000-0002-6647-6429","affiliations":[{"raw_affiliation_string":"Departamento de Electr&#x00F3;nica, Universidad T&#x00E9;cnica Federico Santa Mar&#x00ED;a, Valpara&#x00ED;so, Chile","institution_ids":["https://openalex.org/I75778554"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039840422"],"corresponding_institution_ids":["https://openalex.org/I75778554"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00332671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"20574","last_page":"20583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980999827384949,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980999827384949,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9977999925613403,"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/bridging","display_name":"Bridging (networking)","score":0.8204008340835571},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7088538408279419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6569658517837524},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5763680338859558},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4416930079460144},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.41398143768310547},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41034388542175293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3752194046974182},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.328064888715744},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2936669588088989},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14299017190933228},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10382711887359619},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06523558497428894}],"concepts":[{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.8204008340835571},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7088538408279419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6569658517837524},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5763680338859558},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4416930079460144},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.41398143768310547},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41034388542175293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3752194046974182},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.328064888715744},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2936669588088989},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14299017190933228},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10382711887359619},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06523558497428894},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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":2,"locations":[{"id":"doi:10.1109/access.2025.3530445","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3530445","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2f8d18c632a34afb823f7d8a0d4e4248","is_oa":true,"landing_page_url":"https://doaj.org/article/2f8d18c632a34afb823f7d8a0d4e4248","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 20574-20583 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3530445","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3530445","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.49000000953674316,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1861492603","https://openalex.org/W2115763357","https://openalex.org/W2145938889","https://openalex.org/W2168809519","https://openalex.org/W2618530766","https://openalex.org/W2735338899","https://openalex.org/W2743289088","https://openalex.org/W2747680751","https://openalex.org/W2750432752","https://openalex.org/W2794284562","https://openalex.org/W2927744156","https://openalex.org/W2958608088","https://openalex.org/W2963785012","https://openalex.org/W2963906250","https://openalex.org/W2964082701","https://openalex.org/W2978017171","https://openalex.org/W2980728347","https://openalex.org/W2997560666","https://openalex.org/W3018757597","https://openalex.org/W3034368386","https://openalex.org/W3035172746","https://openalex.org/W3035574168","https://openalex.org/W3043350800","https://openalex.org/W3099502074","https://openalex.org/W3123341016","https://openalex.org/W3138154797","https://openalex.org/W4205436213","https://openalex.org/W4206963555","https://openalex.org/W4285124663","https://openalex.org/W4313426025","https://openalex.org/W4315620673","https://openalex.org/W4320730830","https://openalex.org/W4327522797","https://openalex.org/W4366771658","https://openalex.org/W4385245566","https://openalex.org/W4385497937","https://openalex.org/W4386076325","https://openalex.org/W4386076400","https://openalex.org/W4387673980","https://openalex.org/W4391365646","https://openalex.org/W4391831350","https://openalex.org/W6762718338","https://openalex.org/W6768086466","https://openalex.org/W6768851824","https://openalex.org/W6849520326"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W4406302447","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W4281783339","https://openalex.org/W1964041166","https://openalex.org/W4390887692"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,100,110,142],"deep":[3],"learning":[4],"have":[5],"significantly":[6],"improved":[7],"image":[8,51,148],"classification":[9,52,57,108,149],"models,":[10,150],"yet":[11],"extending":[12],"these":[13],"models":[14,93],"to":[15,44,54],"alternative":[16],"data":[17,157],"forms,":[18],"such":[19],"as":[20,40],"point":[21,55,106],"clouds":[22],"from":[23,49],"Light":[24],"Detection":[25],"and":[26,113,128],"Ranging":[27],"(LiDAR)":[28],"sensors,":[29],"presents":[30],"considerable":[31],"challenges.":[32],"This":[33],"paper":[34],"explores":[35],"applying":[36],"knowledge":[37,140],"distillation":[38,123,141],"techniques":[39,124],"a":[41],"solution,":[42],"aiming":[43],"transfer":[45],"the":[46,119,131,137,144],"learned":[47],"competencies":[48],"established":[50],"frameworks":[53],"cloud":[56,107],"tasks.":[58],"Our":[59],"methodology":[60],"involves":[61],"distilling":[62],"complex":[63],"model":[64,126],"insights":[65],"into":[66,118],"more":[67],"computationally":[68],"efficient":[69],"forms":[70],"suitable":[71],"for":[72],"LIDAR":[73,132],"data,":[74],"thus":[75],"enabling":[76],"substantial":[77],"resource":[78],"savings":[79],"without":[80],"sacrificing":[81],"performance.":[82],"Experimental":[83],"evaluations":[84],"across":[85,155],"various":[86],"benchmark":[87],"datasets":[88],"demonstrate":[89],"that":[90],"our":[91],"distilled":[92],"not":[94],"only":[95],"rival":[96],"their":[97,153],"original":[98],"counterparts":[99],"accuracy":[101],"but":[102],"also":[103],"surpass":[104],"conventional":[105],"methods":[109],"both":[111],"efficiency":[112],"scalability.":[114],"Additionally,":[115],"we":[116],"delve":[117],"impact":[120],"of":[121,139,147],"varying":[122],"on":[125],"adaptability":[127],"performance":[129],"within":[130],"domain.":[133],"The":[134],"findings":[135],"underscore":[136],"utility":[138],"enhancing":[143],"trans-domain":[145],"applicability":[146],"potentially":[151],"revolutionizing":[152],"deployment":[154],"diverse":[156],"types.":[158]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
