{"id":"https://openalex.org/W4310731974","doi":"https://doi.org/10.1109/uemcon54665.2022.9965690","title":"Ship Deck Segmentation Using an Attention Based Generative Adversarial Network","display_name":"Ship Deck Segmentation Using an Attention Based Generative Adversarial Network","publication_year":2022,"publication_date":"2022-10-26","ids":{"openalex":"https://openalex.org/W4310731974","doi":"https://doi.org/10.1109/uemcon54665.2022.9965690"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon54665.2022.9965690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon54665.2022.9965690","pdf_url":null,"source":{"id":"https://openalex.org/S4363608506","display_name":"2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","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/A5006009202","display_name":"Joanna He","orcid":null},"institutions":[{"id":"https://openalex.org/I2802304995","display_name":"Ocean Lakes High School","ror":"https://ror.org/02maem855","country_code":"US","type":"education","lineage":["https://openalex.org/I2802304995"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joanna He","raw_affiliation_strings":["Ocean Lakes High School,Math and Science Academy,Virginia Beach,VA","Math and Science Academy, Ocean Lakes High School, Virginia Beach, VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean Lakes High School,Math and Science Academy,Virginia Beach,VA","institution_ids":["https://openalex.org/I2802304995"]},{"raw_affiliation_string":"Math and Science Academy, Ocean Lakes High School, Virginia Beach, VA","institution_ids":["https://openalex.org/I2802304995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043963140","display_name":"Mohammad Shahab Uddin","orcid":"https://orcid.org/0000-0002-2466-1212"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Shahab Uddin","raw_affiliation_strings":["Old Dominion University,Department of Electrical and Computer Engineering,Norfolk,VA","Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Old Dominion University,Department of Electrical and Computer Engineering,Norfolk,VA","institution_ids":["https://openalex.org/I81365321"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA","institution_ids":["https://openalex.org/I81365321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083453698","display_name":"M. Canan","orcid":"https://orcid.org/0000-0002-2066-9559"},"institutions":[{"id":"https://openalex.org/I35364215","display_name":"Naval Postgraduate School","ror":"https://ror.org/033yfkj90","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I3130687028","https://openalex.org/I35364215"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mustafa Canan","raw_affiliation_strings":["Naval Postgraduate School,Department of Information Sciences,Monterey,CA","Department of Information Sciences, Naval Postgraduate School, Monterey, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Postgraduate School,Department of Information Sciences,Monterey,CA","institution_ids":["https://openalex.org/I35364215"]},{"raw_affiliation_string":"Department of Information Sciences, Naval Postgraduate School, Monterey, CA","institution_ids":["https://openalex.org/I35364215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082771705","display_name":"Andres Sousa\u2010Poza","orcid":"https://orcid.org/0000-0003-0144-9099"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andres Sousa-Poza","raw_affiliation_strings":["Old Dominion University,Department of Engineering Management & Systems Engineering,Norfolk,VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Old Dominion University,Department of Engineering Management & Systems Engineering,Norfolk,VA","institution_ids":["https://openalex.org/I81365321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024188175","display_name":"Samuel Kovacic","orcid":"https://orcid.org/0000-0002-8772-5957"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Kovacic","raw_affiliation_strings":["Old Dominion University,Department of Engineering Management & Systems Engineering,Norfolk,VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Old Dominion University,Department of Engineering Management & Systems Engineering,Norfolk,VA","institution_ids":["https://openalex.org/I81365321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100392380","display_name":"Jiang Li","orcid":"https://orcid.org/0000-0003-0091-6986"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiang Li","raw_affiliation_strings":["Old Dominion University,Department of Electrical and Computer Engineering,Norfolk,VA","Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Old Dominion University,Department of Electrical and Computer Engineering,Norfolk,VA","institution_ids":["https://openalex.org/I81365321"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA","institution_ids":["https://openalex.org/I81365321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.059,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.29935401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"27","issue":null,"first_page":"0367","last_page":"0372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.993399977684021,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.993399977684021,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9886999726295471,"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/hyperparameter","display_name":"Hyperparameter","score":0.8488991260528564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7265909910202026},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.587178111076355},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5869207978248596},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.573795735836029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5412582159042358},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5409894585609436},{"id":"https://openalex.org/keywords/deck","display_name":"Deck","score":0.47337836027145386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45990368723869324},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43960943818092346},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4345133304595947},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3524342179298401},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3253331780433655},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17545872926712036}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8488991260528564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7265909910202026},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.587178111076355},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5869207978248596},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.573795735836029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5412582159042358},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5409894585609436},{"id":"https://openalex.org/C2778966251","wikidata":"https://www.wikidata.org/wiki/Q208123","display_name":"Deck","level":2,"score":0.47337836027145386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45990368723869324},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43960943818092346},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4345133304595947},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3524342179298401},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3253331780433655},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17545872926712036},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon54665.2022.9965690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon54665.2022.9965690","pdf_url":null,"source":{"id":"https://openalex.org/S4363608506","display_name":"2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2091695913","https://openalex.org/W2737911916","https://openalex.org/W2779637370","https://openalex.org/W2884585870","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2963684088","https://openalex.org/W2984769683","https://openalex.org/W3173193115","https://openalex.org/W3176366763","https://openalex.org/W3184132450","https://openalex.org/W3190223819","https://openalex.org/W4214743736","https://openalex.org/W4247574467","https://openalex.org/W4285101276","https://openalex.org/W4285407533","https://openalex.org/W4320013936","https://openalex.org/W6673404461","https://openalex.org/W6685352114","https://openalex.org/W6753412334"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W3178813832","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2969215546","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4226298148"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"proposed":[4,30,59,91],"an":[5],"attention-based":[6],"generative":[7],"adversarial":[8],"network":[9],"(GAN)":[10],"model":[11,41,54,60,75,92],"to":[12,76,80],"clean":[13],"low":[14],"quality,":[15],"noisy":[16],"engineering":[17],"documents":[18,104],"of":[19,46,111],"ship":[20,116],"decks":[21],"provided":[22],"by":[23],"the":[24,36,40,47,53,58,73,82,90,98,102],"Military":[25],"Sealift":[26],"Command":[27],"(MSC).":[28],"We":[29,56],"four":[31],"loss":[32],"functions":[33],"and":[34,42,71,101],"optimized":[35],"hyperparameters":[37],"associated":[38],"with":[39,61,67,97],"found":[43],"that":[44,89,113],"each":[45],"parameters":[48],"had":[49],"significant":[50],"influence":[51],"on":[52],"performance.":[55],"trained":[57,74],"154":[62],"MSC":[63,78],"noisy/clean":[64],"image":[65],"pairs":[66],"different":[68],"parameter":[69,84],"combinations":[70],"applied":[72],"9":[77],"images":[79],"identify":[81],"best":[83],"combination.":[85],"Experiment":[86],"results":[87,96],"show":[88],"could":[93],"achieve":[94],"good":[95],"limited":[99],"dataset":[100],"cleaned":[103],"can":[105],"be":[106],"used":[107],"for":[108],"3D":[109],"modeling":[110],"ships":[112],"will":[114],"revolutionize":[115],"maintenance.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}