{"id":"https://openalex.org/W4386091755","doi":"https://doi.org/10.3390/s23177337","title":"Underwater Target Detection Based on Parallel High-Resolution Networks","display_name":"Underwater Target Detection Based on Parallel High-Resolution Networks","publication_year":2023,"publication_date":"2023-08-23","ids":{"openalex":"https://openalex.org/W4386091755","doi":"https://doi.org/10.3390/s23177337","pmid":"https://pubmed.ncbi.nlm.nih.gov/37687793"},"language":"en","primary_location":{"id":"doi:10.3390/s23177337","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23177337","pdf_url":"https://www.mdpi.com/1424-8220/23/17/7337/pdf?version=1692755623","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/17/7337/pdf?version=1692755623","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011055956","display_name":"Zhengwei Bao","orcid":"https://orcid.org/0009-0009-3509-9446"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengwei Bao","raw_affiliation_strings":["College of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China","Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025342750","display_name":"Ying Guo","orcid":"https://orcid.org/0000-0002-4933-8024"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Guo","raw_affiliation_strings":["College of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China","Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047428032","display_name":"Ji\u2010Yu Wang","orcid":"https://orcid.org/0009-0004-1609-6024"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyu Wang","raw_affiliation_strings":["College of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China","Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380600","display_name":"Linlin Zhu","orcid":"https://orcid.org/0000-0001-7312-6534"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Zhu","raw_affiliation_strings":["College of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China","Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102772098","display_name":"Jun Huang","orcid":"https://orcid.org/0000-0002-8471-6262"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Huang","raw_affiliation_strings":["College of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China","Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102605916","display_name":"Yan Shu","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Yan","raw_affiliation_strings":["College of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China","Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5025342750"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.4328,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84115943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"17","first_page":"7337","last_page":"7337"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.996399998664856,"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/T11019","display_name":"Image Enhancement Techniques","score":0.996399998664856,"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":0.9939000010490417,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8070644736289978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.634212851524353},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5891754031181335},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.562438428401947},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5168290734291077},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.4917202293872833},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49135342240333557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4849448502063751},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.4550051689147949},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4236938953399658},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35011017322540283}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8070644736289978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.634212851524353},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5891754031181335},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.562438428401947},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5168290734291077},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.4917202293872833},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49135342240333557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4849448502063751},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.4550051689147949},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4236938953399658},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35011017322540283},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23177337","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23177337","pdf_url":"https://www.mdpi.com/1424-8220/23/17/7337/pdf?version=1692755623","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37687793","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37687793","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10490014","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10490014","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10490014/pdf/sensors-23-07337.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:1a64364a2ad64adb97381d239c20bfa1","is_oa":true,"landing_page_url":"https://doaj.org/article/1a64364a2ad64adb97381d239c20bfa1","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 17, p 7337 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/17/7337/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23177337","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 17; Pages: 7337","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23177337","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23177337","pdf_url":"https://www.mdpi.com/1424-8220/23/17/7337/pdf?version=1692755623","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1786900755","display_name":null,"funder_award_id":"61971229","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386091755.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1536680647","https://openalex.org/W2102605133","https://openalex.org/W2193145675","https://openalex.org/W2525286916","https://openalex.org/W2613718673","https://openalex.org/W2793326570","https://openalex.org/W2884585870","https://openalex.org/W2925359305","https://openalex.org/W2955086978","https://openalex.org/W2963150697","https://openalex.org/W2963604034","https://openalex.org/W2997821741","https://openalex.org/W3005197976","https://openalex.org/W3005573772","https://openalex.org/W3012573144","https://openalex.org/W3015543858","https://openalex.org/W3037662149","https://openalex.org/W3090063164","https://openalex.org/W3096609285","https://openalex.org/W3106250896","https://openalex.org/W3110369781","https://openalex.org/W3186103791","https://openalex.org/W3205066504","https://openalex.org/W3210924584","https://openalex.org/W3211814624","https://openalex.org/W4282914989","https://openalex.org/W4289529516","https://openalex.org/W4295066019","https://openalex.org/W4295165444","https://openalex.org/W4307699288","https://openalex.org/W4308971494","https://openalex.org/W4310036640","https://openalex.org/W4313855360","https://openalex.org/W4317506075","https://openalex.org/W4319342106","https://openalex.org/W4320494277","https://openalex.org/W4321033361","https://openalex.org/W4378696859","https://openalex.org/W4386076325","https://openalex.org/W6687483927","https://openalex.org/W6765153455"],"related_works":["https://openalex.org/W4376620596","https://openalex.org/W3177249605","https://openalex.org/W2534152068","https://openalex.org/W3138508047","https://openalex.org/W1972515067","https://openalex.org/W4293054914","https://openalex.org/W1689909837","https://openalex.org/W4298525700","https://openalex.org/W2953362004","https://openalex.org/W2549121492"],"abstract_inverted_index":{"A":[0],"parallel":[1],"high-resolution":[2,25,30],"underwater":[3,15,162,185],"target":[4,19,40,114],"detection":[5,155],"network":[6,26],"is":[7,35,60,104,132],"proposed":[8,210],"to":[9,37,62,89,106,117,134,143],"address":[10],"the":[11,39,46,51,56,69,73,78,81,99,146,154,158,168,206,209],"problems":[12],"of":[13,80,109,150,157,208],"complex":[14,64],"scenes":[16],"and":[17,43,101,112,116,121,139,148,152,173,191,196],"limited":[18],"feature":[20,41,65],"extraction":[21],"capability.":[22,95],"First,":[23],"a":[24,28,126],"(HRNet),":[27],"lighter":[29],"human":[31],"posture":[32],"estimation":[33],"network,":[34],"used":[36],"improve":[38,107,153],"representation":[42],"effectively":[44],"reduce":[45],"semantic":[47,137],"information":[48,93,138,142],"lost":[49],"in":[50,72,98],"image":[52],"during":[53],"sampling.":[54],"Then,":[55],"attention":[57],"module":[58,130],"(A-CBAM)":[59],"improved":[61],"capture":[63,119],"distributions":[66],"by":[67],"modeling":[68,94],"two-dimensional":[70],"space":[71],"activation":[74,87],"function":[75,88],"stage":[76],"through":[77],"introduction":[79],"flexible":[82],"rectified":[83],"linear":[84],"units":[85],"(FReLU)":[86],"achieve":[90],"pixel-level":[91],"spatial":[92,100],"Feature":[96],"enhancement":[97],"channel":[102],"dimensions":[103],"performed":[105],"understanding":[108],"fuzzy":[110],"targets":[111],"small":[113],"objects":[115],"better":[118],"irregular":[120],"detailed":[122],"object":[123,200],"layouts.":[124],"Finally,":[125],"receptive":[127],"field":[128],"augmentation":[129],"(RFAM)":[131],"constructed":[133],"obtain":[135],"sufficient":[136],"rich":[140],"detail":[141],"further":[144],"enhance":[145],"robustness":[147],"discrimination":[149],"features":[151],"capability":[156],"model":[159],"for":[160],"multi-scale":[161],"targets.":[163],"Experimental":[164],"results":[165],"show":[166],"that":[167],"method":[169],"achieves":[170],"81.17%,":[171],"77.02%,":[172],"82.9%":[174],"mean":[175],"average":[176],"precision":[177],"(mAP)":[178],"on":[179],"three":[180],"publicly":[181],"available":[182],"datasets,":[183],"specifically":[184],"robot":[186],"professional":[187],"contest":[188],"(URPC2020,":[189],"URPC2018)":[190],"pattern":[192],"analysis,":[193],"statistical":[194],"modeling,":[195],"computational":[197],"learning":[198],"visual":[199],"classes":[201],"(PASCAL":[202],"VOC2007),":[203],"respectively,":[204],"demonstrating":[205],"effectiveness":[207],"network.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
