{"id":"https://openalex.org/W4309456176","doi":"https://doi.org/10.3390/rs14225805","title":"Improved One-Stage Detectors with Neck Attention Block for Object Detection in Remote Sensing","display_name":"Improved One-Stage Detectors with Neck Attention Block for Object Detection in Remote Sensing","publication_year":2022,"publication_date":"2022-11-17","ids":{"openalex":"https://openalex.org/W4309456176","doi":"https://doi.org/10.3390/rs14225805"},"language":"en","primary_location":{"id":"doi:10.3390/rs14225805","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14225805","pdf_url":"https://www.mdpi.com/2072-4292/14/22/5805/pdf?version=1668674464","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/22/5805/pdf?version=1668674464","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089564261","display_name":"Kaiqi Lang","orcid":"https://orcid.org/0000-0003-1953-8647"},"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/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiqi Lang","raw_affiliation_strings":["Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101849390","display_name":"Mingyu Yang","orcid":"https://orcid.org/0000-0002-6077-6711"},"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/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyu Yang","raw_affiliation_strings":["Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649232","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-6956-7342"},"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/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713368","display_name":"Hanyu Wang","orcid":"https://orcid.org/0000-0002-9162-9730"},"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/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyu Wang","raw_affiliation_strings":["Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384120","display_name":"Zilong Wang","orcid":"https://orcid.org/0009-0008-4257-1211"},"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/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilong Wang","raw_affiliation_strings":["Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069484650","display_name":"Jingzhong Zhang","orcid":"https://orcid.org/0000-0003-2604-6624"},"institutions":[{"id":"https://openalex.org/I4210115771","display_name":"Heilongjiang Academy of Forestry","ror":"https://ror.org/02bfrg439","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210115771"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingzhong Zhang","raw_affiliation_strings":["Forest Protection Research Institute of Heilongjiang Province, Harbin 150040, China"],"affiliations":[{"raw_affiliation_string":"Forest Protection Research Institute of Heilongjiang Province, Harbin 150040, China","institution_ids":["https://openalex.org/I4210115771"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008884650","display_name":"Honghai Shen","orcid":null},"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/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Honghai Shen","raw_affiliation_strings":["Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5008884650"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210088164"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.0208,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77521193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"14","issue":"22","first_page":"5805","last_page":"5805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9952999949455261,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9926999807357788,"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":0.8573973178863525},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7197065353393555},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6646714210510254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6078516244888306},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5898398160934448},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5734404921531677},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4705263376235962},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.44871264696121216},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4466990828514099},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4440990388393402},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4409730136394501},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3816606104373932},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3187479078769684},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11213517189025879},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07851460576057434},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.06976547837257385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8573973178863525},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7197065353393555},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6646714210510254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6078516244888306},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5898398160934448},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5734404921531677},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4705263376235962},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44871264696121216},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4466990828514099},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4440990388393402},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4409730136394501},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3816606104373932},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3187479078769684},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11213517189025879},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07851460576057434},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.06976547837257385},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14225805","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14225805","pdf_url":"https://www.mdpi.com/2072-4292/14/22/5805/pdf?version=1668674464","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bd6d740f0e2043d195c1dc7433cab0a7","is_oa":true,"landing_page_url":"https://doaj.org/article/bd6d740f0e2043d195c1dc7433cab0a7","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":"Remote Sensing, Vol 14, Iss 22, p 5805 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/22/5805/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14225805","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":"Remote Sensing; Volume 14; Issue 22; Pages: 5805","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14225805","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14225805","pdf_url":"https://www.mdpi.com/2072-4292/14/22/5805/pdf?version=1668674464","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3435950671","display_name":null,"funder_award_id":"and Gr","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4309456176.pdf","grobid_xml":"https://content.openalex.org/works/W4309456176.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1516887802","https://openalex.org/W1536680647","https://openalex.org/W1594676769","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W2037227137","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2176924101","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2296151615","https://openalex.org/W2308318555","https://openalex.org/W2400138547","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2618530766","https://openalex.org/W2752782242","https://openalex.org/W2806070179","https://openalex.org/W2884561390","https://openalex.org/W2884585870","https://openalex.org/W2886335102","https://openalex.org/W2900585446","https://openalex.org/W2935079508","https://openalex.org/W2962749812","https://openalex.org/W2963037989","https://openalex.org/W2963499661","https://openalex.org/W2963857746","https://openalex.org/W2982770724","https://openalex.org/W2990763144","https://openalex.org/W2992240579","https://openalex.org/W3009396058","https://openalex.org/W3013696364","https://openalex.org/W3034552520","https://openalex.org/W3042011474","https://openalex.org/W3046857037","https://openalex.org/W3047401433","https://openalex.org/W3106250896","https://openalex.org/W3177052299","https://openalex.org/W3205373903","https://openalex.org/W3217445779","https://openalex.org/W4206754102","https://openalex.org/W4207064056","https://openalex.org/W4297347641","https://openalex.org/W6734935105"],"related_works":["https://openalex.org/W2493838176","https://openalex.org/W4297686120","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W4376620596","https://openalex.org/W3177249605","https://openalex.org/W2534152068","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"Object":[0],"detection":[1],"in":[2,31,37,104],"remote":[3,18,38],"sensing":[4,19,39],"is":[5,41],"becoming":[6],"a":[7,69,74,109,134,175],"conspicuous":[8],"challenge":[9],"with":[10,64,138],"the":[11,22,81,86,124,139,147,153,165],"rapidly":[12],"increasing":[13],"quantity":[14],"and":[15,54,76,85,112,126,143,150,158,170],"quality":[16],"of":[17,24,128,136],"images.":[20],"Although":[21],"application":[23],"Deep":[25],"Learning":[26],"has":[27],"obtained":[28],"remarkable":[29],"performance":[30],"Computer":[32],"Vision,":[33],"detecting":[34],"multi-scale":[35,177],"targets":[36],"images":[40],"still":[42],"an":[43],"unsolved":[44],"problem,":[45],"especially":[46],"for":[47,117],"small":[48,119],"instances":[49],"which":[50,79],"possess":[51],"limited":[52],"features":[53],"intricate":[55],"backgrounds.":[56],"In":[57,101],"this":[58,65],"work,":[59],"we":[60,130],"managed":[61],"to":[62],"cope":[63],"problem":[66],"by":[67,156,168],"designing":[68,97],"neck":[70],"attention":[71,87,92,99],"block":[72],"(NAB),":[73],"simple":[75],"flexible":[77],"module":[78],"combines":[80],"convolutional":[82],"bottleneck":[83],"structure":[84],"mechanism,":[88],"different":[89],"from":[90],"traditional":[91],"mechanisms":[93],"that":[94],"focus":[95],"on":[96,133,173,188],"complicated":[98],"branches.":[100],"addition,":[102],"Vehicle":[103],"High-Resolution":[105],"Aerial":[106],"Imagery":[107],"(VHRAI),":[108],"diverse,":[110],"dense,":[111],"challenging":[113],"dataset,":[114],"was":[115],"proposed":[116],"studying":[118],"object":[120],"detection.":[121],"To":[122],"validate":[123],"effectiveness":[125],"generalization":[127],"NAB,":[129],"conducted":[131],"experiments":[132],"variety":[135],"datasets":[137],"improved":[140,148],"YOLOv3,":[141],"YOLOv4-Tiny,":[142],"SSD.":[144],"On":[145],"VHRAI,":[146],"YOLOv3":[149],"YOLOv4-Tiny":[151],"surpassed":[152],"original":[154,166],"models":[155,167,183],"1.98%":[157],"1.89%":[159],"mAP,":[160],"respectively.":[161],"Similarly,":[162],"they":[163],"exceeded":[164],"1.12%":[169],"3.72%":[171],"mAP":[172],"TGRS-HRRSD,":[174],"large":[176],"dataset.":[178],"Including":[179],"SSD,":[180],"these":[181],"three":[182],"also":[184],"showed":[185],"excellent":[186],"generalizability":[187],"PASCAL":[189],"VOC.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}