{"id":"https://openalex.org/W4399257618","doi":"https://doi.org/10.1145/3653781.3653821","title":"Ship Detection Methods in Large Scene SAR Images Based on Lightweight Optimization and Knowledge Distillation","display_name":"Ship Detection Methods in Large Scene SAR Images Based on Lightweight Optimization and Knowledge Distillation","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4399257618","doi":"https://doi.org/10.1145/3653781.3653821"},"language":"en","primary_location":{"id":"doi:10.1145/3653781.3653821","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653781.3653821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer Vision and Deep Learning","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/A5101441493","display_name":"Zhijie Luo","orcid":"https://orcid.org/0009-0007-0964-7715"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhijie Luo","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, China"],"raw_orcid":"https://orcid.org/0009-0007-0964-7715","affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114171444","display_name":"Zeyu Yan","orcid":"https://orcid.org/0009-0007-8983-2995"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Yan","raw_affiliation_strings":["School of Computer and Information Technology Beijing Jiaotong University, China"],"raw_orcid":"https://orcid.org/0009-0007-8983-2995","affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113236488","display_name":"Taoran Jiang","orcid":"https://orcid.org/0009-0000-5807-967X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taoran Jiang","raw_affiliation_strings":["Jeme Tienyow Honors College, Beijing Jiaotong University, China"],"raw_orcid":"https://orcid.org/0009-0000-5807-967X","affiliations":[{"raw_affiliation_string":"Jeme Tienyow Honors College, Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101441493"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.2381,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4770752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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":0.9987000226974487,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9740999937057495,"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":0.7994439601898193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5640532374382019},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5260871648788452},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.48100408911705017},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4696079194545746},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4307980537414551},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.429363489151001},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.41269612312316895},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39161497354507446},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35645782947540283},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34611403942108154},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32670366764068604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7994439601898193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5640532374382019},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5260871648788452},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.48100408911705017},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4696079194545746},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4307980537414551},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.429363489151001},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.41269612312316895},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39161497354507446},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35645782947540283},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34611403942108154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32670366764068604},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3653781.3653821","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653781.3653821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer Vision and Deep Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2034875816","https://openalex.org/W2076063977","https://openalex.org/W2534517308","https://openalex.org/W2613718673","https://openalex.org/W2665089225","https://openalex.org/W2752782242","https://openalex.org/W2793141496","https://openalex.org/W2920111013","https://openalex.org/W2944261991","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2973531547","https://openalex.org/W2982083293","https://openalex.org/W2982770724","https://openalex.org/W3011032387","https://openalex.org/W3038950847","https://openalex.org/W3169811568","https://openalex.org/W4320487943","https://openalex.org/W6893711219"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2522537526","https://openalex.org/W4308659218","https://openalex.org/W2000775715","https://openalex.org/W2998228095","https://openalex.org/W3042635963","https://openalex.org/W4200210037","https://openalex.org/W4401483124"],"abstract_inverted_index":{"Abstract:":[0],"The":[1],"process":[2],"of":[3,24,41,88,115,153,187],"identifying":[4],"ships":[5,43],"in":[6,16,76,158],"satellite":[7],"scanning":[8,36],"images":[9,34,78],"is":[10,47,147,162],"known":[11],"as":[12],"ship":[13,74,203],"detection":[14,58,75,89],"methods":[15],"SAR":[17,77,202],"images,":[18],"which":[19,146],"consistently":[20],"scan":[21],"vast":[22,37],"areas":[23],"the":[25,30,33,39,42,56,80,86,113,118,133,151,159,173,175,184],"ocean.":[26],"Clearly,":[27],"due":[28],"to":[29,137,149],"fact":[31],"that":[32,164,192],"are":[35,199],"scenes,":[38],"size":[40],"within":[44],"these":[45],"scenes":[46],"generally":[48],"small.":[49],"This":[50,181],"poses":[51],"a":[52,106,144,165],"significant":[53],"challenge":[54],"for":[55,201],"target":[57],"task.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63,94,103,131],"explore":[64],"YOLOv5,":[65],"YOLOv7,":[66],"YOLOv8,":[67],"and":[68,91,99,124,196],"transformer":[69],"based":[70,111],"detector":[71],"RT-DETR":[72],"on":[73,112],"using":[79],"LS-SSDD-v1.0":[81],"datasets.":[82],"Additionally,":[83],"aiming":[84],"at":[85],"problem":[87],"speed":[90,186],"model":[92,96],"complexity,":[93],"design":[95],"lightweight":[97,108,197],"optimization":[98,198],"knowledge":[100,179,194],"distillation.":[101,180],"Specifically,":[102],"have":[104],"integrated":[105],"more":[107,125],"network,":[109,161],"MobileNetV3":[110],"backbone":[114],"YOLOv5s.":[116],"Thus,":[117],"modified":[119],"network":[120,167,171],"has":[121,172],"fewer":[122],"parameters":[123],"complex":[126],"than":[127],"original":[128],"one.":[129],"Besides,":[130],"insert":[132],"SE":[134],"attention":[135],"module":[136],"retain":[138],"accurate":[139],"spatial":[140],"position":[141],"information.":[142],"Moreover,":[143],"strategy,":[145],"used":[148],"solve":[150],"disadvantage":[152],"inadequate":[154],"feature":[155],"retrieval":[156],"capability":[157],"YOLOv5s":[160],"designed":[163],"small":[166],"can":[168],"like":[169],"large":[170],"incorporating":[174],"information":[176],"ability":[177],"through":[178],"strategy":[182],"accelerates":[183],"convergence":[185],"training.":[188],"Experimental":[189],"results":[190],"shows":[191],"both":[193],"distillation":[195],"effective":[200],"detection.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}