{"id":"https://openalex.org/W4285295475","doi":"https://doi.org/10.1109/tgrs.2022.3173610","title":"Ship Detection in High-Resolution Optical Remote Sensing Images Aided by Saliency Information","display_name":"Ship Detection in High-Resolution Optical Remote Sensing Images Aided by Saliency Information","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285295475","doi":"https://doi.org/10.1109/tgrs.2022.3173610"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3173610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3173610","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5066215680","display_name":"Zhida Ren","orcid":"https://orcid.org/0000-0003-4299-0519"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhida Ren","raw_affiliation_strings":["Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China, and University of Chinese Academy of Sciences, Beijing, 101408, China"],"raw_orcid":"https://orcid.org/0000-0003-4299-0519","affiliations":[{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China, and University of Chinese Academy of Sciences, Beijing, 101408, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109012722","display_name":"Yongqiang Tang","orcid":"https://orcid.org/0000-0001-9333-8200"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqiang Tang","raw_affiliation_strings":["Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China"],"raw_orcid":"https://orcid.org/0000-0001-9333-8200","affiliations":[{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101827167","display_name":"Zewen He","orcid":"https://orcid.org/0000-0002-4782-3165"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zewen He","raw_affiliation_strings":["Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China, and University of Chinese Academy of Sciences, Beijing, 101408, China"],"raw_orcid":"https://orcid.org/0000-0002-4782-3165","affiliations":[{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China, and University of Chinese Academy of Sciences, Beijing, 101408, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101550588","display_name":"Lei Tian","orcid":"https://orcid.org/0000-0001-7052-0907"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Tian","raw_affiliation_strings":["Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China, and University of Chinese Academy of Sciences, Beijing, 101408, China"],"raw_orcid":"https://orcid.org/0000-0001-7052-0907","affiliations":[{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China, and University of Chinese Academy of Sciences, Beijing, 101408, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026020925","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-1895-7906"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China"],"raw_orcid":"https://orcid.org/0000-0002-1895-7906","affiliations":[{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100414787","display_name":"Wensheng Zhang","orcid":"https://orcid.org/0000-0003-0752-941X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wensheng Zhang","raw_affiliation_strings":["Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China, and University of Chinese Academy of Sciences, Beijing, 101408, China"],"raw_orcid":"https://orcid.org/0000-0003-0752-941X","affiliations":[{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China, and University of Chinese Academy of Sciences, Beijing, 101408, China","institution_ids":["https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":4.6403,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.96384052,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9991999864578247,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9922000169754028,"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":0.8423168659210205},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.698572039604187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6859200596809387},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6600977182388306},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5629758238792419},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5249404907226562},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5022778511047363},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48948919773101807},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.47776806354522705},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4517076909542084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43051090836524963},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41776248812675476},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3918735682964325},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07804524898529053}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8423168659210205},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.698572039604187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6859200596809387},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6600977182388306},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5629758238792419},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5249404907226562},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5022778511047363},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48948919773101807},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.47776806354522705},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4517076909542084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43051090836524963},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41776248812675476},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3918735682964325},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07804524898529053},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3173610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3173610","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G3834478065","display_name":null,"funder_award_id":"61876183","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5811738602","display_name":null,"funder_award_id":"U1936206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5864907405","display_name":null,"funder_award_id":"61906191","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5914912638","display_name":null,"funder_award_id":"62173328","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1561797649","https://openalex.org/W1861492603","https://openalex.org/W1970782782","https://openalex.org/W2039313011","https://openalex.org/W2039798254","https://openalex.org/W2041719651","https://openalex.org/W2056522964","https://openalex.org/W2064094295","https://openalex.org/W2066624635","https://openalex.org/W2085625911","https://openalex.org/W2086791339","https://openalex.org/W2100503224","https://openalex.org/W2108598243","https://openalex.org/W2415535521","https://openalex.org/W2442495293","https://openalex.org/W2565639579","https://openalex.org/W2594177559","https://openalex.org/W2596246567","https://openalex.org/W2612676323","https://openalex.org/W2744690378","https://openalex.org/W2788202095","https://openalex.org/W2791979332","https://openalex.org/W2798791651","https://openalex.org/W2806070179","https://openalex.org/W2884561390","https://openalex.org/W2887503470","https://openalex.org/W2939217524","https://openalex.org/W2946862972","https://openalex.org/W2948500402","https://openalex.org/W2948510860","https://openalex.org/W2955670325","https://openalex.org/W2960322325","https://openalex.org/W2961348656","https://openalex.org/W2962721361","https://openalex.org/W2963037989","https://openalex.org/W2963849369","https://openalex.org/W2964241181","https://openalex.org/W2964979676","https://openalex.org/W2973472829","https://openalex.org/W2982399281","https://openalex.org/W2986825110","https://openalex.org/W2987701848","https://openalex.org/W2988916019","https://openalex.org/W2989678931","https://openalex.org/W2990984982","https://openalex.org/W2997822866","https://openalex.org/W3010021382","https://openalex.org/W3016644593","https://openalex.org/W3018998681","https://openalex.org/W3058901394","https://openalex.org/W3083166649","https://openalex.org/W3099008583","https://openalex.org/W3170033848","https://openalex.org/W3174873843","https://openalex.org/W6638992375","https://openalex.org/W6770886966"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3034745255","https://openalex.org/W4254103348"],"abstract_inverted_index":{"Ship":[0],"detection":[1,96,126,220],"is":[2,151,183],"a":[3,132,172],"crucial":[4],"but":[5],"challenging":[6],"task":[7,97],"in":[8,27,76,127,167],"optical":[9,44,78],"remote":[10,79],"sensing":[11,80],"images.":[12,81],"Recently,":[13],"thanks":[14],"to":[15,54,68,92,98,120,141,157,185],"the":[16,48,51,69,77,89,94,122,143,154,163,192,195,199,214,229,233,240],"emergence":[17],"of":[18,74,124,145,201],"deep":[19],"neural":[20,173],"networks,":[21],"significant":[22,35],"progress":[23],"has":[24],"been":[25],"made":[26],"ship":[28,95,125],"detection.":[29,223],"However,":[30],"there":[31],"are":[32,210],"still":[33],"two":[34,101,109,204],"issues":[36],"that":[37,175,236],"must":[38],"be":[39],"addressed:":[40],"1)":[41],"The":[42,61],"high-resolution":[43],"images":[45],"may":[46],"confuse":[47],"background":[49],"with":[50],"ship,":[52],"leading":[53],"more":[55,159,187],"false":[56],"alarms":[57],"during":[58,153],"detection;":[59],"2)":[60],"detector":[62],"receives":[63],"fewer":[64],"positive":[65,146,160],"samples":[66,161],"due":[67],"sparse":[70],"and":[71,115,130,181,194,208,221,232],"uneven":[72],"distribution":[73],"ships":[75],"In":[82],"this":[83,105],"paper,":[84],"we":[85,107],"innovatively":[86],"propose":[87,131],"employing":[88],"saliency":[90,222],"information":[91,189,216],"aid":[93],"tackle":[99],"these":[100],"issues.":[102],"To":[103,197],"achieve":[104],"goal,":[106],"devise":[108],"novel":[110],"modules,":[111],"Feature-Enhanced":[112],"Structure":[113],"(FES)":[114],"Saliency":[116],"Prediction":[117],"Branch":[118],"(SPB),":[119],"boost":[121],"capacity":[123],"complex":[128],"environments,":[129],"new":[133,205],"sampling":[134],"strategy":[135],"named":[136],"Salient":[137],"Screening":[138],"Mechanism":[139],"(SSM)":[140],"increase":[142],"number":[144],"samples.":[147],"More":[148],"specifically,":[149],"SSM":[150],"adopted":[152],"training":[155],"phase":[156],"mine":[158],"from":[162],"ignored":[164],"set.":[165],"Then,":[166],"an":[168],"end-to-end":[169],"learning":[170],"fashion,":[171],"network":[174],"incorporates":[176],"our":[177,202,237],"carefully":[178],"designed":[179],"FES":[180],"SPB":[182],"trained":[184],"gain":[186],"discriminative":[188],"for":[190,217],"distinguishing":[191],"foreground":[193],"background.":[196],"evaluate":[198],"effectiveness":[200],"proposal,":[203],"datasets":[206],"HRSC-SO":[207],"DOTA-isaid-ship":[209],"constructed,":[211],"which":[212],"possesses":[213],"annotation":[215],"both":[218],"object":[219],"We":[224],"conduct":[225],"extensive":[226],"experiments":[227],"on":[228],"constructed":[230],"dataset,":[231],"results":[234],"demonstrate":[235],"method":[238],"outperforms":[239],"previous":[241],"state-of-the-art":[242],"approaches.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":3}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}