{"id":"https://openalex.org/W4392901627","doi":"https://doi.org/10.1109/tcsvt.2024.3378252","title":"Semi-Supervised Feature Distillation and Unsupervised Domain Adversarial Distillation for Underwater Image Enhancement","display_name":"Semi-Supervised Feature Distillation and Unsupervised Domain Adversarial Distillation for Underwater Image Enhancement","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392901627","doi":"https://doi.org/10.1109/tcsvt.2024.3378252"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3378252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3378252","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5035813467","display_name":"Nianzu Qiao","orcid":"https://orcid.org/0000-0003-4124-8320"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nianzu Qiao","raw_affiliation_strings":["College of Electronic and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019248683","display_name":"Changyin Sun","orcid":"https://orcid.org/0000-0001-9269-334X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changyin Sun","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088413924","display_name":"Lu Dong","orcid":"https://orcid.org/0000-0001-6737-1381"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Dong","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015027725","display_name":"Quanbo Ge","orcid":"https://orcid.org/0000-0002-6907-7837"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanbo Ge","raw_affiliation_strings":["School of Automation, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035813467"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":2.7421,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91162728,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"34","issue":"8","first_page":"7671","last_page":"7682"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.998199999332428,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980999827384949,"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/distillation","display_name":"Distillation","score":0.7910771369934082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6246964931488037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6217477321624756},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5375120043754578},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5242857336997986},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5203961133956909},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5109702348709106},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49556028842926025},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44311651587486267},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3726577162742615},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33230891823768616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2463555634021759},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.13901105523109436},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.10833650827407837}],"concepts":[{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.7910771369934082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6246964931488037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6217477321624756},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5375120043754578},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5242857336997986},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5203961133956909},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5109702348709106},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49556028842926025},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44311651587486267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3726577162742615},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33230891823768616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2463555634021759},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.13901105523109436},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.10833650827407837},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3378252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3378252","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1901129140","https://openalex.org/W2076205488","https://openalex.org/W2091420866","https://openalex.org/W2181646778","https://openalex.org/W2293581118","https://openalex.org/W2474516010","https://openalex.org/W2523532944","https://openalex.org/W2587107113","https://openalex.org/W2593797484","https://openalex.org/W2741564377","https://openalex.org/W2746518190","https://openalex.org/W2767009334","https://openalex.org/W2771986438","https://openalex.org/W2794405642","https://openalex.org/W2810518847","https://openalex.org/W2892845027","https://openalex.org/W2950055287","https://openalex.org/W2963513437","https://openalex.org/W2963936452","https://openalex.org/W2964088115","https://openalex.org/W2964111476","https://openalex.org/W2968843523","https://openalex.org/W2971483169","https://openalex.org/W2982157312","https://openalex.org/W2987927713","https://openalex.org/W2990176100","https://openalex.org/W2995689976","https://openalex.org/W2996610304","https://openalex.org/W2997763120","https://openalex.org/W3006777311","https://openalex.org/W3034997257","https://openalex.org/W3099025816","https://openalex.org/W3099562471","https://openalex.org/W3120474118","https://openalex.org/W3135038612","https://openalex.org/W3157502174","https://openalex.org/W3159377007","https://openalex.org/W3159660641","https://openalex.org/W3203251405","https://openalex.org/W4226213342","https://openalex.org/W4282914989","https://openalex.org/W4294871818","https://openalex.org/W4312325222","https://openalex.org/W4312590184","https://openalex.org/W4313141028","https://openalex.org/W4313413160","https://openalex.org/W6637551013","https://openalex.org/W6730179637","https://openalex.org/W6748082341","https://openalex.org/W6749242622","https://openalex.org/W6772674396"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W2619203976"],"abstract_inverted_index":{"At":[0],"present,":[1],"deep":[2],"learning":[3],"has":[4,40,49],"demonstrated":[5],"outstanding":[6,42,235],"performance":[7,119,171],"in":[8,53,112,179,187,231],"the":[9,54,62,77,118,121,131,139,144,149,170,203,226],"area":[10],"of":[11,56,120,172,206],"underwater":[12,57,73,236],"image":[13,58,74,237],"enhancement.":[14,59],"However,":[15,47],"these":[16],"approaches":[17],"often":[18],"demand":[19],"substantial":[20],"computational":[21],"resources":[22],"and":[23,37,87,107,182],"extended":[24],"training":[25,196],"time.":[26,79],"Knowledge":[27],"distillation":[28,70,86,91,99,105,110,116,137,168,186,195,228],"is":[29,81,158,198],"a":[30,68,82,191],"widely":[31],"used":[32],"technique":[33,71,229],"for":[34,72,76],"model":[35],"compression,":[36],"nowadays":[38],"it":[39,48,214],"delivered":[41],"results":[43],"across":[44],"various":[45],"fields.":[46],"not":[50],"been":[51],"utilized":[52],"field":[55],"To":[60],"tackle":[61],"aforementioned":[63],"issues,":[64],"this":[65,232],"paper":[66,233],"introduces":[67],"knowledge":[69,194,208,227],"enhancement":[75,178,238],"first":[78],"It":[80,93],"semi-supervised":[83],"self-inter":[84,192,207],"feature":[85,128,134],"unsupervised":[88,176,183],"self-domain":[89,108],"adversarial":[90,109,167,185],"approach.":[92],"specifically":[94],"includes":[95],"adaptive":[96,177],"local":[97],"self-feature":[98],"technique,":[100,106],"information":[101,146,154,164],"lossless":[102],"multi-scale":[103,162],"inter-feature":[104],"approach":[111,157],"LAB-RGB":[113],"space.":[114,189],"Self-feature":[115],"enhances":[117],"student":[122,140,173,219],"network":[123,141],"by":[124],"correcting":[125],"other":[126],"lossy":[127],"maps":[129],"with":[130,221],"maximum":[132],"effective":[133],"map.":[135],"Inter-feature":[136],"enables":[138],"to":[142,160,201],"maximize":[143,202],"potential":[145],"learned":[147],"from":[148],"teacher":[150],"network.":[151],"Furthermore,":[152],"an":[153],"loss-free":[155,163],"pooling":[156],"suggested":[159],"achieve":[161,234],"extraction.":[165],"Self-domain":[166],"boosts":[169],"networks":[174,220],"through":[175],"LAB":[180],"space":[181],"domain":[184],"RGB":[188],"Finally,":[190],"alternate":[193],"measure":[197],"proposed,":[199],"aiming":[200],"respective":[204],"benefits":[205],"distillation.":[209],"Through":[210],"extensive":[211],"comparative":[212],"experiments,":[213],"can":[215],"be":[216],"found":[217],"that":[218],"dissimilar":[222],"structures":[223],"trained":[224],"using":[225],"designed":[230],"results.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
