{"id":"https://openalex.org/W3015146731","doi":"https://doi.org/10.1109/access.2020.2984310","title":"Anchor-Free Single Stage Detector in Remote Sensing Images Based on Multiscale Dense Path Aggregation Feature Pyramid Network","display_name":"Anchor-Free Single Stage Detector in Remote Sensing Images Based on Multiscale Dense Path Aggregation Feature Pyramid Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3015146731","doi":"https://doi.org/10.1109/access.2020.2984310","mag":"3015146731"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2984310","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2984310","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09051994.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09051994.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100356496","display_name":"Yangyang Li","orcid":"https://orcid.org/0000-0002-1328-8889"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangyang Li","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1328-8889","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088717109","display_name":"Xuan Pei","orcid":"https://orcid.org/0000-0001-7175-8079"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Pei","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-7175-8079","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101773194","display_name":"Qin Huang","orcid":"https://orcid.org/0000-0002-2281-705X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Huang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-2281-705X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054791684","display_name":"Ronghua Shang","orcid":"https://orcid.org/0000-0001-9124-696X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghua Shang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-9124-696X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011562571","display_name":"Naresh Marturi","orcid":"https://orcid.org/0000-0002-0159-167X"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Naresh Marturi","raw_affiliation_strings":["Extreme Robotics Laboratory, University of Birmingham, Edgbaston, U.K"],"raw_orcid":"https://orcid.org/0000-0002-0159-167X","affiliations":[{"raw_affiliation_string":"Extreme Robotics Laboratory, University of Birmingham, Edgbaston, U.K","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100356496"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.0165,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94508859,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"63121","last_page":"63133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9994000196456909,"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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7768241763114929},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6682936549186707},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6555742025375366},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6107547879219055},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5944627523422241},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5567241311073303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.534403920173645},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.515200674533844},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46397194266319275},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4515843987464905},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.3085101842880249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2806687355041504},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15922942757606506},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06648963689804077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7768241763114929},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6682936549186707},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6555742025375366},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6107547879219055},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5944627523422241},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5567241311073303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.534403920173645},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.515200674533844},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46397194266319275},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4515843987464905},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.3085101842880249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2806687355041504},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15922942757606506},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06648963689804077},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2020.2984310","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2984310","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09051994.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a0711964fe3a4b9a880a5480f222cbbc","is_oa":true,"landing_page_url":"https://doaj.org/article/a0711964fe3a4b9a880a5480f222cbbc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 63121-63133 (2020)","raw_type":"article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/e41f7e2f-0d96-43f5-b790-7cd37725c5d3","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/e41f7e2f-0d96-43f5-b790-7cd37725c5d3","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li, Y, Pei, X, Huang, Q, Jiao, L, Shang, R & Marturi, N 2020, 'Anchor-Free Single Stage Detector in Remote Sensing Images Based on Multiscale Dense Path Aggregation Feature Pyramid Network', IEEE Access, vol. 8, 9051994, pp. 63121-63133. https://doi.org/10.1109/ACCESS.2020.2984310","raw_type":"article"},{"id":"pmh:oai:pure.atira.dk:publications/e41f7e2f-0d96-43f5-b790-7cd37725c5d3","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/portal/en/publications/anchorfree-single-stage-detector-in-remote-sensing-images-based-on-multiscale-dense-path-aggregation-feature-pyramid-network(e41f7e2f-0d96-43f5-b790-7cd37725c5d3).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li, Y, Pei, X, Huang, Q, Jiao, L, Shang, R & Marturi, N 2020, 'Anchor-Free Single Stage Detector in Remote Sensing Images Based on Multiscale Dense Path Aggregation Feature Pyramid Network', IEEE Access, vol. 8, 9051994, pp. 63121-63133. https://doi.org/10.1109/ACCESS.2020.2984310","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2984310","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2984310","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09051994.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1149346757","display_name":null,"funder_award_id":"61773304","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1957488185","display_name":null,"funder_award_id":"61672405","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2552413355","display_name":null,"funder_award_id":"U1701267","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4210063020","display_name":"\u9762\u5411\u9ad8\u5206\u8fa8SAR\u56fe\u50cf\u5206\u7c7b\u7684\u91cf\u5b50\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7814\u7a76","funder_award_id":"61772399","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4677402211","display_name":null,"funder_award_id":"61772400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6405969325","display_name":null,"funder_award_id":"IRT_15R53","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3015146731.pdf","grobid_xml":"https://content.openalex.org/works/W3015146731.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1849277567","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W2017448754","https://openalex.org/W2031489346","https://openalex.org/W2108598243","https://openalex.org/W2129987527","https://openalex.org/W2194775991","https://openalex.org/W2512351403","https://openalex.org/W2549139847","https://openalex.org/W2555751471","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2613718673","https://openalex.org/W2796347433","https://openalex.org/W2808360995","https://openalex.org/W2810862788","https://openalex.org/W2886904239","https://openalex.org/W2890715498","https://openalex.org/W2903265578","https://openalex.org/W2911469306","https://openalex.org/W2949858991","https://openalex.org/W2952819818","https://openalex.org/W2955031293","https://openalex.org/W2962749812","https://openalex.org/W2963037989","https://openalex.org/W2963179609","https://openalex.org/W2963351448","https://openalex.org/W2963456480","https://openalex.org/W2963516811","https://openalex.org/W2982770724","https://openalex.org/W2988916019","https://openalex.org/W2989604896","https://openalex.org/W2990631821","https://openalex.org/W3010357916","https://openalex.org/W3012573144","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W6679461745","https://openalex.org/W6730410022","https://openalex.org/W6750227808","https://openalex.org/W6752745451","https://openalex.org/W6754632766","https://openalex.org/W6757060459","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2351870625","https://openalex.org/W2341518107","https://openalex.org/W2349598717","https://openalex.org/W2385371209","https://openalex.org/W2496529405","https://openalex.org/W4234949831","https://openalex.org/W4313005088","https://openalex.org/W2165780522","https://openalex.org/W4327563507","https://openalex.org/W2186541020"],"abstract_inverted_index":{"Object":[0],"detection":[1,37,95,129,220],"has":[2,47,212],"always":[3],"been":[4],"a":[5,75,112,151,179],"challenging":[6],"task":[7],"in":[8,38,136,145,173,221],"the":[9,42,84,90,94,119,125,128,133,137,140,165],"field":[10],"of":[11,44,78,93,115,127,142,164],"computer":[12],"vision":[13],"due":[14],"to":[15,118,178],"complex":[16],"background,":[17],"large":[18,76,113],"scale":[19],"variation":[20],"and":[21,139,169,177,215],"many":[22,70],"small":[23,143],"objects,":[24],"which":[25,80,122,159],"are":[26],"especially":[27],"pronounced":[28],"for":[29,64,105,218],"remote":[30,39,65,106,146,174,197,222],"sensing":[31,40,66,107,147,175,198,223],"imagery.":[32,67,224],"In":[33,97,189],"recent":[34],"years,":[35],"object":[36,57,109,219],"with":[41],"development":[43],"deep":[45],"learning":[46],"also":[48,88],"made":[49],"great":[50],"breakthroughs.":[51],"At":[52],"present,":[53],"almost":[54],"all":[55],"state-of-the-art":[56],"detectors":[58],"rely":[59],"on":[60,194],"pre-defined":[61],"anchor":[62,71,120],"boxes":[63,72],"However,":[68],"too":[69],"will":[73],"introduce":[74],"number":[77,114],"hyper-parameters,":[79],"not":[81],"only":[82],"increase":[83,89],"memory":[85],"footprint,":[86],"but":[87],"computational":[91],"redundancy":[92],"model.":[96,130],"contrast,":[98],"we":[99,149],"propose":[100],"an":[101],"anchor-free":[102],"single-stage":[103],"detector":[104,211],"imagery":[108],"detection,":[110],"avoiding":[111],"hyper-parameters":[116],"related":[117],"box,":[121],"usually":[123],"affect":[124],"performance":[126,214],"Specially,":[131],"considering":[132],"large-scale":[134],"differences":[135],"objects":[138,144],"characteristics":[141],"imagery,":[148,176],"design":[150],"dense":[152],"path":[153],"aggregation":[154],"feature":[155,187],"pyramid":[156],"network":[157],"(DPAFPN),":[158],"can":[160],"make":[161],"full":[162],"use":[163],"high-level":[166],"semantic":[167],"information":[168,172,183],"low-level":[170],"location":[171],"certain":[180],"extent,":[181],"avoid":[182],"loss":[184],"during":[185],"shallow":[186],"transfer.":[188],"our":[190,210],"experiments,":[191],"extensive":[192],"experiments":[193],"two":[195],"public":[196],"datasets":[199],"DOTA,":[200],"NWPU":[201],"VHR-10":[202],"were":[203],"conducted.":[204],"The":[205],"experimental":[206],"results":[207],"demonstrate":[208],"that":[209],"good":[213],"is":[216],"meaningful":[217]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}