{"id":"https://openalex.org/W3205185163","doi":"https://doi.org/10.1109/icra48506.2021.9561263","title":"LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement","display_name":"LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement","publication_year":2021,"publication_date":"2021-05-30","ids":{"openalex":"https://openalex.org/W3205185163","doi":"https://doi.org/10.1109/icra48506.2021.9561263","mag":"3205185163"},"language":"en","primary_location":{"id":"doi:10.1109/icra48506.2021.9561263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48506.2021.9561263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","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/A5104036695","display_name":"Hao-Hsiang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I3020783763","display_name":"Asus (Taiwan)","ror":"https://ror.org/00bxkz165","country_code":"TW","type":"company","lineage":["https://openalex.org/I3020783763"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hao-Hsiang Yang","raw_affiliation_strings":["ASUS Intelligent Cloud Services, Asustek Computer Inc., Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"ASUS Intelligent Cloud Services, Asustek Computer Inc., Taipei, Taiwan","institution_ids":["https://openalex.org/I3020783763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052378221","display_name":"Kuan\u2010Chih Huang","orcid":"https://orcid.org/0000-0001-7100-8091"},"institutions":[{"id":"https://openalex.org/I3020783763","display_name":"Asus (Taiwan)","ror":"https://ror.org/00bxkz165","country_code":"TW","type":"company","lineage":["https://openalex.org/I3020783763"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Chih Huang","raw_affiliation_strings":["ASUS Intelligent Cloud Services, Asustek Computer Inc., Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"ASUS Intelligent Cloud Services, Asustek Computer Inc., Taipei, Taiwan","institution_ids":["https://openalex.org/I3020783763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687514","display_name":"Wei\u2010Ting Chen","orcid":"https://orcid.org/0000-0003-4922-4518"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I3020783763","display_name":"Asus (Taiwan)","ror":"https://ror.org/00bxkz165","country_code":"TW","type":"company","lineage":["https://openalex.org/I3020783763"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Ting Chen","raw_affiliation_strings":["ASUS Intelligent Cloud Services, Asustek Computer Inc., Taipei, Taiwan","Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"ASUS Intelligent Cloud Services, Asustek Computer Inc., Taipei, Taiwan","institution_ids":["https://openalex.org/I3020783763"]},{"raw_affiliation_string":"Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5104036695"],"corresponding_institution_ids":["https://openalex.org/I3020783763"],"apc_list":null,"apc_paid":null,"fwci":6.4366,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.97620915,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"685","last_page":"692"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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":0.9991000294685364,"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":0.7898519039154053},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.7862568497657776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7487797141075134},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.628469705581665},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5839745998382568},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5732860565185547},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4374953806400299},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4359847903251648},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4141482710838318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3950124979019165},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.316122829914093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7898519039154053},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7862568497657776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7487797141075134},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.628469705581665},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5839745998382568},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5732860565185547},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4374953806400299},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4359847903251648},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4141482710838318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3950124979019165},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.316122829914093},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/icra48506.2021.9561263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48506.2021.9561263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W1901129140","https://openalex.org/W1963696504","https://openalex.org/W1967369969","https://openalex.org/W2009071067","https://openalex.org/W2091420866","https://openalex.org/W2097117768","https://openalex.org/W2099471712","https://openalex.org/W2128254161","https://openalex.org/W2145105988","https://openalex.org/W2194775991","https://openalex.org/W2294668072","https://openalex.org/W2331128040","https://openalex.org/W2474516010","https://openalex.org/W2476548250","https://openalex.org/W2562637781","https://openalex.org/W2587107113","https://openalex.org/W2612445135","https://openalex.org/W2752782242","https://openalex.org/W2762430768","https://openalex.org/W2798898057","https://openalex.org/W2890779068","https://openalex.org/W2910639395","https://openalex.org/W2913103673","https://openalex.org/W2927633990","https://openalex.org/W2948892662","https://openalex.org/W2950055287","https://openalex.org/W2955863859","https://openalex.org/W2961348656","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2964088115","https://openalex.org/W2964121744","https://openalex.org/W2970027712","https://openalex.org/W2970530557","https://openalex.org/W2990176100","https://openalex.org/W2990946490","https://openalex.org/W2991006905","https://openalex.org/W3004469096","https://openalex.org/W3006777311","https://openalex.org/W3014522660","https://openalex.org/W3015557838","https://openalex.org/W3024190941","https://openalex.org/W3035414587","https://openalex.org/W3040189317","https://openalex.org/W3090004407","https://openalex.org/W3103549414","https://openalex.org/W3119639728","https://openalex.org/W3131899711","https://openalex.org/W3204996961","https://openalex.org/W4297775537","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638523607","https://openalex.org/W6639824700","https://openalex.org/W6647720530","https://openalex.org/W6681560937","https://openalex.org/W6702130928","https://openalex.org/W6720976276","https://openalex.org/W6730551332","https://openalex.org/W6737664043","https://openalex.org/W6757872554","https://openalex.org/W6760567136","https://openalex.org/W6785331745","https://openalex.org/W6791029512"],"related_works":["https://openalex.org/W4388412763","https://openalex.org/W1999583034","https://openalex.org/W3168963531","https://openalex.org/W2591930867","https://openalex.org/W2953138830","https://openalex.org/W2773822314","https://openalex.org/W3176162126","https://openalex.org/W2891537746","https://openalex.org/W2969228573","https://openalex.org/W2963690996"],"abstract_inverted_index":{"Underwater":[0],"image":[1,44,56,157],"enhancement":[2],"is":[3,85,112],"an":[4],"important":[5],"low-level":[6],"computer":[7,37],"vision":[8,38,149],"task":[9],"for":[10,54],"autonomous":[11],"underwater":[12,23,43,55],"vehicles":[13,17],"and":[14,20,40,61,155],"remotely":[15],"operated":[16],"to":[18,104,114,129],"explore":[19],"understand":[21],"the":[22,86,123],"environments.":[24],"Recently,":[25],"deep":[26],"convolutional":[27],"neural":[28],"networks":[29],"(CNNs)":[30],"have":[31],"been":[32],"successfully":[33],"used":[34,113],"in":[35,67],"many":[36,48],"problems,":[39],"so":[41],"does":[42],"enhancement.":[45],"There":[46],"are":[47,65],"deep-learning-based":[49],"methods":[50],"with":[51,89,100],"impressive":[52],"performance":[53],"enhancement,":[57],"but":[58,134],"their":[59],"memory":[60],"model":[62,84,88],"parameter":[63],"costs":[64],"hindrances":[66],"practical":[68],"application.":[69],"To":[70],"address":[71],"this":[72],"issue,":[73],"we":[74,142],"propose":[75],"a":[76],"lightweight":[77],"adaptive":[78,91],"feature":[79,92,107,117],"fusion":[80,93],"network":[81],"(LAFFNet).":[82],"The":[83],"encoder-decoder":[87],"multiple":[90,98],"(AAF)":[94],"modules.":[95],"AAF":[96],"subsumes":[97],"branches":[99],"different":[101],"kernel":[102],"sizes":[103],"generate":[105],"multi-scale":[106],"maps.":[108],"Furthermore,":[109,141],"channel":[110],"attention":[111],"merge":[115],"these":[116],"maps":[118],"adaptively.":[119],"Our":[120],"method":[121],"reduces":[122],"number":[124],"of":[125],"parameters":[126],"from":[127],"2.5M":[128],"0.15M":[130],"(around":[131],"94%":[132],"reduction)":[133],"outperforms":[135],"state-of-the-art":[136],"algorithms":[137],"by":[138],"extensive":[139],"experiments.":[140],"demonstrate":[143],"our":[144],"LAFFNet":[145],"effectively":[146],"improves":[147],"high-level":[148],"tasks":[150],"like":[151],"salience":[152],"object":[153],"detection":[154],"single":[156],"depth":[158],"estimation.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":14}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
