{"id":"https://openalex.org/W7124169537","doi":"https://doi.org/10.1109/icpads67057.2025.11323187","title":"AquaLite: Mobile-Oriented Lightweight Detector for Marine Organism Detection in Oceanariums","display_name":"AquaLite: Mobile-Oriented Lightweight Detector for Marine Organism Detection in Oceanariums","publication_year":2025,"publication_date":"2025-12-14","ids":{"openalex":"https://openalex.org/W7124169537","doi":"https://doi.org/10.1109/icpads67057.2025.11323187"},"language":null,"primary_location":{"id":"doi:10.1109/icpads67057.2025.11323187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11323187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5084619979","display_name":"Baihao You","orcid":"https://orcid.org/0000-0003-1779-7389"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baihao You","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University,Guangzhou,China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123021360","display_name":"Jingheng Long","orcid":null},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingheng Long","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University,Guangzhou,China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122996789","display_name":"Zelin He","orcid":null},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zelin He","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University,Guangzhou,China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006016100","display_name":"Jiangsan Zhao","orcid":"https://orcid.org/0000-0003-3916-7388"},"institutions":[{"id":"https://openalex.org/I4210143403","display_name":"Norwegian Institute of Bioeconomy Research","ror":"https://ror.org/04aah1z61","country_code":"NO","type":"funder","lineage":["https://openalex.org/I4210143403"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Jiangsan Zhao","raw_affiliation_strings":["Norwegian Institute of Bioeconomy Research (NIBIO),Center for Precision Agriculture,Department of Agricultural Technology,Kapp,Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Norwegian Institute of Bioeconomy Research (NIBIO),Center for Precision Agriculture,Department of Agricultural Technology,Kapp,Norway","institution_ids":["https://openalex.org/I4210143403"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123042169","display_name":"Ximing Li","orcid":null},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ximing Li","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University,Guangzhou,China","institution_ids":["https://openalex.org/I101479585"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.5716875,"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":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.4088999927043915,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.4088999927043915,"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/T10341","display_name":"Coral and Marine Ecosystems Studies","score":0.10159999877214432,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.039500001817941666,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5626000165939331},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.45750001072883606},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.45239999890327454},{"id":"https://openalex.org/keywords/interactivity","display_name":"Interactivity","score":0.4465999901294708},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.43720000982284546},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4359999895095825},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.40059998631477356},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.39570000767707825},{"id":"https://openalex.org/keywords/on-the-fly","display_name":"On the fly","score":0.3912999927997589}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.771399974822998},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5626000165939331},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.45750001072883606},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.45239999890327454},{"id":"https://openalex.org/C144430266","wikidata":"https://www.wikidata.org/wiki/Q839721","display_name":"Interactivity","level":2,"score":0.4465999901294708},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.43720000982284546},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4359999895095825},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.40059998631477356},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.39570000767707825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3937999904155731},{"id":"https://openalex.org/C2781020372","wikidata":"https://www.wikidata.org/wiki/Q533093","display_name":"On the fly","level":2,"score":0.3912999927997589},{"id":"https://openalex.org/C137858568","wikidata":"https://www.wikidata.org/wiki/Q7239","display_name":"Organism","level":2,"score":0.36250001192092896},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.35429999232292175},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32679998874664307},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29919999837875366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29840001463890076},{"id":"https://openalex.org/C2779208394","wikidata":"https://www.wikidata.org/wiki/Q7140460","display_name":"Participatory sensing","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.27799999713897705},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.25850000977516174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpads67057.2025.11323187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11323187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.5408580899238586,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2288990755","https://openalex.org/W4391601861","https://openalex.org/W4402754006","https://openalex.org/W4403770406"],"related_works":[],"abstract_inverted_index":{"Oceanariums":[0],"serve":[1],"as":[2],"a":[3,45,60,75,122],"vital":[4],"bridge":[5],"between":[6],"humans":[7],"and":[8,14,31,38,93,100,106,133,142,157,159,163,167,170],"marine":[9,27,126],"ecosystems,":[10],"fostering":[11],"public":[12],"engagement":[13,37],"education.":[15],"However,":[16],"most":[17],"contemporary":[18],"oceanariums":[19],"still":[20],"rely":[21],"on":[22,139,177],"information":[23],"panels":[24],"to":[25,48,102,129],"introduce":[26],"life,":[28],"lacking":[29],"interactivity":[30],"immersive":[32],"experiences,":[33],"which":[34],"limits":[35],"tourist":[36],"educational":[39],"effectiveness.":[40],"Marine":[41],"organism":[42,127],"detection":[43,54,85],"offers":[44],"promising":[46],"solution":[47],"enhance":[49],"interactivity,":[50],"yet":[51],"achieving":[52,171],"high":[53,84],"performance":[55],"with":[56,152],"lightweight":[57,77],"models":[58],"remains":[59],"critical":[61],"challenge,":[62],"particularly":[63],"in":[64,161],"computational":[65,104],"resource-constrained":[66],"environments.":[67],"To":[68],"address":[69],"this":[70],"issue,":[71],"we":[72,117],"propose":[73],"AquaLite,":[74],"mobile-oriented":[76],"detector":[78],"optimized":[79],"for":[80,113,125],"efficiency":[81],"while":[82],"maintaining":[83],"accuracy.":[86],"We":[87],"integrate":[88],"the":[89,119,140,150],"Faster":[90],"Extract":[91],"(FE)":[92],"VoVEnhanced":[94],"(VoVE)":[95],"modules":[96],"into":[97],"AquaLite's":[98],"backbone":[99],"neck":[101],"reduce":[103],"redundancy":[105],"refine":[107],"feature":[108],"representation,":[109],"leveraging":[110],"their":[111],"synergy":[112],"improved":[114],"efficiency.":[115],"Additionally,":[116],"construct":[118],"AquaLife":[120,141],"dataset,":[121],"high-quality":[123],"benchmark":[124],"detection,":[128],"support":[130],"further":[131],"research":[132],"algorithm":[134],"development.":[135],"The":[136,180],"experimental":[137],"results":[138],"Aquarium":[143],"Combined":[144],"Dataset":[145],"demonstrate":[146],"that":[147],"AquaLite":[148],"outperforms":[149],"baseline":[151],"mAP":[153],"improvements":[154],"of":[155,165],"3.5%":[156],"3.6%,":[158],"reductions":[160],"parameters":[162],"FLOPs":[164],"11.5%":[166],"9.2%,":[168],"respectively,":[169],"real-time":[172],"inference":[173],"at":[174],"24":[175],"FPS":[176],"mobile":[178],"device.":[179],"artifacts":[181],"are":[182],"available":[183],"upon":[184],"request.":[185]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-01-15T00:00:00"}