{"id":"https://openalex.org/W4362564482","doi":"https://doi.org/10.1145/3577164.3577173","title":"Continual Learning Based Ship Detection in Multiple Weathers","display_name":"Continual Learning Based Ship Detection in Multiple Weathers","publication_year":2022,"publication_date":"2022-11-25","ids":{"openalex":"https://openalex.org/W4362564482","doi":"https://doi.org/10.1145/3577164.3577173"},"language":"en","primary_location":{"id":"doi:10.1145/3577164.3577173","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3577164.3577173","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3577164.3577173","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Video, Signal and Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3577164.3577173","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058598345","display_name":"Baosheng Li","orcid":"https://orcid.org/0000-0002-2117-1648"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baosheng Li","raw_affiliation_strings":["Laiwu Power Supply Company, State Grid Shandong Electric Power Company, China"],"raw_orcid":"https://orcid.org/0000-0002-2117-1648","affiliations":[{"raw_affiliation_string":"Laiwu Power Supply Company, State Grid Shandong Electric Power Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049232999","display_name":"Jishui Han","orcid":"https://orcid.org/0000-0003-4328-8959"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jishui Han","raw_affiliation_strings":["Laiwu Power Supply Company, State Grid Shandong Electric Power Company, China"],"raw_orcid":"https://orcid.org/0000-0003-4328-8959","affiliations":[{"raw_affiliation_string":"Laiwu Power Supply Company, State Grid Shandong Electric Power Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018255524","display_name":"Zhenliang Qi","orcid":"https://orcid.org/0000-0002-7754-5514"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenliang Qi","raw_affiliation_strings":["Laiwu Power Supply Company, State Grid Shandong Electric Power Company, China"],"raw_orcid":"https://orcid.org/0000-0002-7754-5514","affiliations":[{"raw_affiliation_string":"Laiwu Power Supply Company, State Grid Shandong Electric Power Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014157418","display_name":"Liqiang Gao","orcid":"https://orcid.org/0000-0002-0382-5644"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liqiang Gao","raw_affiliation_strings":["Laiwu Power Supply Company, State Grid Shandong Electric Power Company, China"],"raw_orcid":"https://orcid.org/0000-0002-0382-5644","affiliations":[{"raw_affiliation_string":"Laiwu Power Supply Company, State Grid Shandong Electric Power Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066186204","display_name":"Ruijie Duan","orcid":"https://orcid.org/0000-0002-7116-3136"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruijie Duan","raw_affiliation_strings":["Laiwu Power Supply Company, State Grid Shandong Electric Power Company, China"],"raw_orcid":"https://orcid.org/0000-0002-7116-3136","affiliations":[{"raw_affiliation_string":"Laiwu Power Supply Company, State Grid Shandong Electric Power Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056245066","display_name":"Tongtong Wang","orcid":"https://orcid.org/0000-0002-8935-7748"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tongtong Wang","raw_affiliation_strings":["Laiwu Power Supply Company, State Grid Shandong Electric Power Company, China"],"raw_orcid":"https://orcid.org/0000-0002-8935-7748","affiliations":[{"raw_affiliation_string":"Laiwu Power Supply Company, State Grid Shandong Electric Power Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052604719","display_name":"Peng Yan","orcid":"https://orcid.org/0000-0001-5680-5439"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Yan","raw_affiliation_strings":["Shandong TCCA Information Technology Research Institute, China"],"raw_orcid":"https://orcid.org/0000-0001-5680-5439","affiliations":[{"raw_affiliation_string":"Shandong TCCA Information Technology Research Institute, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047100124","display_name":"Ran Song","orcid":"https://orcid.org/0000-0002-1344-4415"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Song","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, China"],"raw_orcid":"https://orcid.org/0000-0002-1344-4415","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100366453","display_name":"Xiaolei Li","orcid":"https://orcid.org/0000-0001-9848-9200"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolei Li","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, China"],"raw_orcid":"https://orcid.org/0000-0001-9848-9200","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1687,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48552601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.995199978351593,"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":0.9907000064849854,"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":0.7211847305297852},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6164606213569641},{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.5841439962387085},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5359823107719421},{"id":"https://openalex.org/keywords/rain-and-snow-mixed","display_name":"Rain and snow mixed","score":0.49729660153388977},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.42794808745384216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39753636717796326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3936695456504822},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.346049964427948},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.10856619477272034},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10150372982025146},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.07711291313171387},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06768456101417542}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7211847305297852},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6164606213569641},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.5841439962387085},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5359823107719421},{"id":"https://openalex.org/C9021358","wikidata":"https://www.wikidata.org/wiki/Q852799","display_name":"Rain and snow mixed","level":3,"score":0.49729660153388977},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.42794808745384216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39753636717796326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3936695456504822},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.346049964427948},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.10856619477272034},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10150372982025146},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.07711291313171387},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06768456101417542},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3577164.3577173","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3577164.3577173","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3577164.3577173","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Video, Signal and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3577164.3577173","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3577164.3577173","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3577164.3577173","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Video, Signal and Image Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G3224735098","display_name":null,"funder_award_id":"520612220007","funder_id":"https://openalex.org/F4320336324","funder_display_name":"State Grid Shandong Electric Power Company"}],"funders":[{"id":"https://openalex.org/F4320336324","display_name":"State Grid Shandong Electric Power Company","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362564482.pdf","grobid_xml":"https://content.openalex.org/works/W4362564482.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1490966766","https://openalex.org/W1676314349","https://openalex.org/W1966253962","https://openalex.org/W1979019425","https://openalex.org/W1981276685","https://openalex.org/W2104062382","https://openalex.org/W2256362396","https://openalex.org/W2287924575","https://openalex.org/W2748021867","https://openalex.org/W2748263833","https://openalex.org/W2786446225","https://openalex.org/W2896903403","https://openalex.org/W2909267201","https://openalex.org/W2910345484","https://openalex.org/W2910522659","https://openalex.org/W2961699889","https://openalex.org/W2963866045","https://openalex.org/W2964189064","https://openalex.org/W2967487473","https://openalex.org/W2994997884","https://openalex.org/W3020130933","https://openalex.org/W3047473256","https://openalex.org/W3080079484","https://openalex.org/W3098511564","https://openalex.org/W3104533206","https://openalex.org/W3104769336","https://openalex.org/W3121281282","https://openalex.org/W3195968859","https://openalex.org/W4205275628","https://openalex.org/W4205848079","https://openalex.org/W4206709332","https://openalex.org/W4255556797","https://openalex.org/W6600175266"],"related_works":["https://openalex.org/W1508631465","https://openalex.org/W2282924588","https://openalex.org/W3124714956","https://openalex.org/W1996097711","https://openalex.org/W2329841311","https://openalex.org/W583526638","https://openalex.org/W2353792951","https://openalex.org/W2032051073","https://openalex.org/W2904081599","https://openalex.org/W2000426180"],"abstract_inverted_index":{"Ship":[0],"detection":[1,11,20,33,41,69,76,99],"in":[2,13,77],"complex":[3],"weathers":[4],"is":[5],"an":[6],"important":[7],"application":[8],"of":[9,74,88,104],"object":[10],"approaches":[12,21,34,42],"real":[14],"life.":[15],"In":[16,57],"recent":[17],"years,":[18],"ship":[19,32,40,68,75,98],"for":[22,35,67],"single":[23],"weather":[24,49,79,92,112],"have":[25,51],"gradually":[26],"matured.":[27],"However,":[28],"there":[29],"are":[30,43],"few":[31],"multiple":[36],"weathers,":[37],"and":[38,50,109],"traditional":[39],"only":[44],"applicable":[45],"to":[46,54,70,85,90],"a":[47,62,97],"specific":[48],"poor":[52],"generalization":[53],"other":[55],"weathers.":[56],"this":[58],"paper,":[59],"we":[60],"propose":[61],"continual":[63],"learning":[64],"based":[65],"approach":[66],"solve":[71],"the":[72,83],"task":[73],"various":[78],"conditions,":[80],"while":[81],"enabling":[82],"model":[84],"be":[86],"capable":[87],"expanding":[89],"new":[91],"conditions.":[93],"We":[94],"also":[95],"present":[96],"dataset":[100],"under":[101],"three":[102],"types":[103],"weather,":[105],"including":[106],"rain,":[107],"fog,":[108],"snow,":[110],"using":[111],"effect":[113],"simulation":[114],"methods.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}