{"id":"https://openalex.org/W4411640167","doi":"https://doi.org/10.1109/tpami.2025.3583090","title":"Accelerated Self-Supervised Multi-Illumination Color Constancy With Hybrid Knowledge Distillation","display_name":"Accelerated Self-Supervised Multi-Illumination Color Constancy With Hybrid Knowledge Distillation","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4411640167","doi":"https://doi.org/10.1109/tpami.2025.3583090","pmid":"https://pubmed.ncbi.nlm.nih.gov/40560704"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3583090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3583090","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5000376517","display_name":"Ziyu Feng","orcid":"https://orcid.org/0009-0006-9476-3317"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Feng","raw_affiliation_strings":["Key Laboratory of Big Data &#x0026; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University (BJTU), Beijing, China","Key Laboratory of Big Data &amp; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University (BJTU), Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-9476-3317","affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data &#x0026; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University (BJTU), Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Key Laboratory of Big Data &amp; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University (BJTU), Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109346446","display_name":"Bing Li","orcid":"https://orcid.org/0000-0002-5888-6735"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Li","raw_affiliation_strings":["Beijing Key Laboratory of Super Intelligent Security of Multi-Modal Information, State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5888-6735","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Super Intelligent Security of Multi-Modal Information, State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023442981","display_name":"Congyan Lang","orcid":"https://orcid.org/0000-0001-6059-7943"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congyan Lang","raw_affiliation_strings":["Key Laboratory of Big Data &#x0026; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University (BJTU), Beijing, China","Key Laboratory of Big Data &amp; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University (BJTU), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6059-7943","affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data &#x0026; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University (BJTU), Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Key Laboratory of Big Data &amp; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University (BJTU), Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008116891","display_name":"Zheming Xu","orcid":"https://orcid.org/0000-0001-7558-9305"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheming Xu","raw_affiliation_strings":["Key Laboratory of Big Data &#x0026; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University (BJTU), Beijing, China","Key Laboratory of Big Data &amp; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University (BJTU), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7558-9305","affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data &#x0026; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University (BJTU), Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Key Laboratory of Big Data &amp; Artificial Intelligence in Transportation, Ministry of Education, Beijing Jiaotong University (BJTU), Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074955635","display_name":"Haina Qin","orcid":"https://orcid.org/0009-0007-9477-2296"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haina Qin","raw_affiliation_strings":["Beijing Key Laboratory of Super Intelligent Security of Multi-Modal Information, State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-9477-2296","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Super Intelligent Security of Multi-Modal Information, State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668004","display_name":"Juan Wang","orcid":"https://orcid.org/0000-0002-3848-9433"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Wang","raw_affiliation_strings":["Beijing Key Laboratory of Super Intelligent Security of Multi-Modal Information, State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3848-9433","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Super Intelligent Security of Multi-Modal Information, State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100906938","display_name":"Weihua Xiong","orcid":"https://orcid.org/0009-0003-8192-8803"},"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210126530","display_name":"Data Assurance and Communication Security","ror":"https://ror.org/02z2gfm30","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210126530","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Xiong","raw_affiliation_strings":["Beijing Key Laboratory of Super Intelligent Security of Multi-Modal Information, Chinese Academy of Sciences (CASIA), Beijing, China","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-8192-8803","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Super Intelligent Security of Multi-Modal Information, Chinese Academy of Sciences (CASIA), Beijing, China","institution_ids":["https://openalex.org/I4210126530"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.607,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64713026,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"47","issue":"10","first_page":"8955","last_page":"8972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"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/T11666","display_name":"Color Science and Applications","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7253988981246948},{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.690016508102417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6563397645950317},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5316748023033142},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5258546471595764},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4461987018585205},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23382234573364258},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.11322230100631714},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.09423285722732544}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7253988981246948},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.690016508102417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563397645950317},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5316748023033142},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5258546471595764},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4461987018585205},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23382234573364258},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.11322230100631714},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.09423285722732544}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3583090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3583090","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40560704","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40560704","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G2255283088","display_name":null,"funder_award_id":"U24A20331","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3897787541","display_name":null,"funder_award_id":"L251005","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G4148310912","display_name":null,"funder_award_id":"62376020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8454467654","display_name":null,"funder_award_id":"62402031","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W759139936","https://openalex.org/W1508404128","https://openalex.org/W1534426948","https://openalex.org/W1894971994","https://openalex.org/W1901129140","https://openalex.org/W1925897490","https://openalex.org/W1945748771","https://openalex.org/W1950407018","https://openalex.org/W1960752652","https://openalex.org/W1966855663","https://openalex.org/W1978546538","https://openalex.org/W2052090926","https://openalex.org/W2059511298","https://openalex.org/W2068294844","https://openalex.org/W2076205488","https://openalex.org/W2088828956","https://openalex.org/W2107558608","https://openalex.org/W2108303106","https://openalex.org/W2108598243","https://openalex.org/W2110635295","https://openalex.org/W2115257219","https://openalex.org/W2121077932","https://openalex.org/W2128059302","https://openalex.org/W2135884712","https://openalex.org/W2139698815","https://openalex.org/W2154264220","https://openalex.org/W2155138846","https://openalex.org/W2157354913","https://openalex.org/W2170165890","https://openalex.org/W2171773573","https://openalex.org/W2236404076","https://openalex.org/W2408602001","https://openalex.org/W2460242234","https://openalex.org/W2509601486","https://openalex.org/W2519060067","https://openalex.org/W2531409750","https://openalex.org/W2556952061","https://openalex.org/W2735974062","https://openalex.org/W2739489527","https://openalex.org/W2788857193","https://openalex.org/W2931263255","https://openalex.org/W2963073614","https://openalex.org/W2967345019","https://openalex.org/W2979830907","https://openalex.org/W2982788674","https://openalex.org/W2998191538","https://openalex.org/W3023527190","https://openalex.org/W3034705781","https://openalex.org/W3035082903","https://openalex.org/W3035404488","https://openalex.org/W3109269658","https://openalex.org/W3166595568","https://openalex.org/W3201768155","https://openalex.org/W3210209327","https://openalex.org/W4213185264","https://openalex.org/W4292387538","https://openalex.org/W4312340050","https://openalex.org/W4319300758","https://openalex.org/W4361285575","https://openalex.org/W4377231435","https://openalex.org/W4377235351","https://openalex.org/W4377995851","https://openalex.org/W4386113253","https://openalex.org/W4389271971","https://openalex.org/W4390190108","https://openalex.org/W4390190356","https://openalex.org/W4390873752","https://openalex.org/W4402754133","https://openalex.org/W4408608301"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Color":[0],"constancy,":[1],"the":[2,42,99,133,140,156,195],"human":[3],"visual":[4],"system's":[5],"ability":[6,53],"to":[7,54,116,126,147,167],"perceive":[8],"consistent":[9],"colors":[10],"under":[11],"varying":[12],"illumination":[13,150],"conditions,":[14],"is":[15],"crucial":[16],"for":[17,63],"accurate":[18],"color":[19,76,119,130,135],"perception.":[20],"Recently,":[21],"deep":[22],"learning":[23,82],"algorithms":[24],"have":[25,32],"been":[26],"introduced":[27],"into":[28],"this":[29,71],"task":[30,115,125],"and":[31,48,59,83,95,105,122,142,175,186,192],"achieved":[33],"remarkable":[34],"achievements.":[35],"However,":[36],"existing":[37],"methods":[38],"are":[39],"limited":[40],"by":[41,109],"scale":[43],"of":[44,173,197],"current":[45],"multi-illumination":[46,75,185],"datasets":[47],"model":[49],"size,":[50],"hindering":[51],"their":[52,60],"learn":[55,117],"discriminative":[56],"features":[57,170],"effectively":[58],"practical":[61],"value":[62],"deployment":[64],"in":[65],"cameras.":[66],"To":[67],"overcome":[68],"these":[69],"limitations,":[70],"paper":[72],"proposes":[73],"a":[74,144,162],"constancy":[77,136],"approach":[78,87],"based":[79,107],"on":[80,184],"self-supervised":[81,91],"knowledge":[84,96,157,164],"distillation.":[85,97],"This":[86],"includes":[88],"three":[89],"phases:":[90],"pre-training,":[92],"supervised":[93],"fine-tuning,":[94],"During":[98,155],"pre-training":[100],"phase,":[101,159],"we":[102,138,160],"train":[103],"Transformer-based":[104],"U-Net":[106,176],"encoders":[108,141],"two":[110],"pretext":[111],"tasks:":[112],"light":[113],"normalization":[114],"lighting":[118],"contextual":[120],"representation":[121],"grayscale":[123],"colorization":[124],"acquire":[127],"objects'":[128],"inherent":[129],"information.":[131],"For":[132],"downstream":[134],"task,":[137],"fine-tune":[139],"design":[143],"lightweight":[145],"decoder":[146],"obtain":[148],"better":[149],"distributions":[151],"with":[152,171],"fewer":[153],"parameters.":[154],"distillation":[158,165],"introduce":[161],"hybrid":[163],"technique":[166],"align":[168],"CNN":[169],"those":[172],"Transformer":[174],"respectively.":[177],"Our":[178],"proposed":[179],"method":[180],"outperforms":[181],"state-of-the-art":[182],"techniques":[183],"single-illumination":[187],"benchmarks.":[188],"Extensive":[189],"ablation":[190],"studies":[191],"visualizations":[193],"confirm":[194],"effectiveness":[196],"our":[198],"model.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
