{"id":"https://openalex.org/W4312095858","doi":"https://doi.org/10.1109/cisp-bmei56279.2022.9980328","title":"MA<sup>2</sup>-FPN for Tiny Object Detection from Remote Sensing Images","display_name":"MA<sup>2</sup>-FPN for Tiny Object Detection from Remote Sensing Images","publication_year":2022,"publication_date":"2022-11-05","ids":{"openalex":"https://openalex.org/W4312095858","doi":"https://doi.org/10.1109/cisp-bmei56279.2022.9980328"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei56279.2022.9980328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei56279.2022.9980328","pdf_url":null,"source":{"id":"https://openalex.org/S4363605502","display_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049533742","display_name":"Saiwei Li","orcid":"https://orcid.org/0000-0003-4653-2400"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Saiwei Li","raw_affiliation_strings":["College of Computer, Beijing Information Science and Technology University,Beijing,China","College of Computer, Beijing Information Science and Technology University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, Beijing Information Science and Technology University,Beijing,China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"College of Computer, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085242859","display_name":"Qiang Tong","orcid":"https://orcid.org/0000-0003-0508-0727"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Tong","raw_affiliation_strings":["Beijing Information Science and Technology University,Beijing Advanced Innovation Center for Materials Genome Engineering and Laboratory of Data Science and Information Studies,Beijing,China","Beijing Advanced Innovation Center for Materials Genome Engineering and Laboratory of Data Science and Information Studies, Beijing Information Science and Technology University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University,Beijing Advanced Innovation Center for Materials Genome Engineering and Laboratory of Data Science and Information Studies,Beijing,China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Beijing Advanced Innovation Center for Materials Genome Engineering and Laboratory of Data Science and Information Studies, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101828077","display_name":"Xuhong Liu","orcid":"https://orcid.org/0000-0002-0915-2508"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuhong Liu","raw_affiliation_strings":["Beijing Information Science and Technology University,Beijing Advanced Innovation Center for Materials Genome Engineering and Laboratory of Data Science and Information Studies,Beijing,China","College of Computer, Beijing Information Science and Technology University,Beijing,China","College of Computer, Beijing Information Science and Technology University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University,Beijing Advanced Innovation Center for Materials Genome Engineering and Laboratory of Data Science and Information Studies,Beijing,China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"College of Computer, Beijing Information Science and Technology University,Beijing,China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"College of Computer, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071655887","display_name":"Zhanqi Cui","orcid":"https://orcid.org/0000-0002-5537-9236"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanqi Cui","raw_affiliation_strings":["College of Computer, Beijing Information Science and Technology University,Beijing,China","College of Computer, Beijing Information Science and Technology University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, Beijing Information Science and Technology University,Beijing,China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"College of Computer, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002399867","display_name":"Xiulei Liu","orcid":"https://orcid.org/0000-0002-9303-3682"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiulei Liu","raw_affiliation_strings":["Beijing Information Science and Technology University,Beijing Advanced Innovation Center for Materials Genome Engineering and Laboratory of Data Science and Information Studies,Beijing,China","College of Computer, Beijing Information Science and Technology University,Beijing,China","Beijing Advanced Innovation Center for Materials Genome Engineering and Laboratory of Data Science and Information Studies, Beijing Information Science and Technology University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University,Beijing Advanced Innovation Center for Materials Genome Engineering and Laboratory of Data Science and Information Studies,Beijing,China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"College of Computer, Beijing Information Science and Technology University,Beijing,China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Beijing Advanced Innovation Center for Materials Genome Engineering and Laboratory of Data Science and Information Studies, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5049533742"],"corresponding_institution_ids":["https://openalex.org/I78675632"],"apc_list":null,"apc_paid":null,"fwci":0.4797,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73392271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.996399998664856,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9962999820709229,"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":0.7012112140655518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6299086809158325},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6279054880142212},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5856559872627258},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5097481608390808},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.49971771240234375},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.48450037837028503},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.471734881401062},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47036004066467285},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4288758933544159},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4263388514518738},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4124268591403961},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4112706482410431},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11944830417633057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10738834738731384},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09081906080245972},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.075349360704422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7012112140655518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6299086809158325},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6279054880142212},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5856559872627258},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5097481608390808},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.49971771240234375},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.48450037837028503},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.471734881401062},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47036004066467285},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4288758933544159},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4263388514518738},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4124268591403961},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4112706482410431},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11944830417633057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10738834738731384},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09081906080245972},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.075349360704422},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei56279.2022.9980328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei56279.2022.9980328","pdf_url":null,"source":{"id":"https://openalex.org/S4363605502","display_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6988370483","display_name":null,"funder_award_id":"2021YFB2600600","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1889081078","https://openalex.org/W2117539524","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2940726923","https://openalex.org/W2962721361","https://openalex.org/W2962749812","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963798052","https://openalex.org/W2963857746","https://openalex.org/W2964098128","https://openalex.org/W2964241181","https://openalex.org/W2964444661","https://openalex.org/W2982770724","https://openalex.org/W2989604896","https://openalex.org/W3012573144","https://openalex.org/W3034971973","https://openalex.org/W3106250896","https://openalex.org/W3107867277","https://openalex.org/W3121020412","https://openalex.org/W3136469583","https://openalex.org/W3138958001","https://openalex.org/W3157042932","https://openalex.org/W3160733999","https://openalex.org/W3175630421","https://openalex.org/W4288325606","https://openalex.org/W4385245566","https://openalex.org/W4385346076","https://openalex.org/W6620707391","https://openalex.org/W6639432524","https://openalex.org/W6739901393","https://openalex.org/W6760947256","https://openalex.org/W6764322716"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526","https://openalex.org/W4390721878"],"abstract_inverted_index":{"Tiny":[0],"object":[1],"detection":[2,25],"has":[3],"been":[4],"a":[5,54,107],"challenging":[6],"topic":[7],"in":[8,14,45,69],"computer":[9],"vision":[10],"recent":[11],"years.":[12],"Moreover,":[13],"remote":[15,46,70],"sensing":[16,47,71],"field,":[17],"smaller":[18],"and":[19,81,91,102],"clustered":[20],"tiny":[21,43,67,88],"objects":[22,44,68],"make":[23],"its":[24],"more":[26,115],"difficult":[27],"compared":[28],"to":[29,37,65,111],"ground-based":[30],"images.":[31,48],"This":[32],"makes":[33],"general":[34],"detectors":[35],"fail":[36],"achieve":[38],"good":[39],"performance":[40],"when":[41],"facing":[42],"In":[49],"this":[50],"paper,":[51],"we":[52],"propose":[53],"Mask":[55,82],"Augmented":[56],"Attention":[57,78],"Feature":[58],"Pyramid":[59],"Network(MA":[60],"<sup":[61,134],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[62,135],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[63,136],"-FPN)":[64],"detect":[66],"images,":[72],"which":[73],"consists":[74],"of":[75,121],"two":[76],"modules,":[77],"Enhancement":[79],"Module(AEM)":[80],"Supervision":[83],"Module(MSM).":[84],"Specifically,":[85],"AEM":[86,105],"aggregates":[87],"target":[89],"context":[90],"spatial":[92],"feature":[93],"information":[94,114],"by":[95],"large":[96],"kernel":[97],"separable":[98],"convolutional":[99],"attention":[100,109,113],"mechanism,":[101],"MSM":[103],"supervises":[104],"through":[106],"segmentation":[108],"loss":[110],"aggregate":[112],"accurately":[116],"while":[117],"suppressing":[118],"the":[119,127],"influence":[120],"irrelevant":[122],"background.":[123],"Experiments":[124],"based":[125],"on":[126],"AI-TOD":[128],"benchmark":[129],"show":[130],"that":[131],"our":[132],"MA":[133],"-FPN":[137],"achieves":[138],"state-of-the-art(SOTA)":[139],"level.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}