{"id":"https://openalex.org/W4402260430","doi":"https://doi.org/10.1109/igarss53475.2024.10642057","title":"MFA-Encoder: A Multilevel Feature-Aware Hybrid Encoder for Object Detection in Optical Remote Sensing Images under DETR Architecture","display_name":"MFA-Encoder: A Multilevel Feature-Aware Hybrid Encoder for Object Detection in Optical Remote Sensing Images under DETR Architecture","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402260430","doi":"https://doi.org/10.1109/igarss53475.2024.10642057"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10642057","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10642057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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/A5113368528","display_name":"Zhiduo Li","orcid":null},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiduo Li","raw_affiliation_strings":["North China University of Technology,College of Information,Beijing,China,100144"],"affiliations":[{"raw_affiliation_string":"North China University of Technology,College of Information,Beijing,China,100144","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022557444","display_name":"Fukun Bi","orcid":"https://orcid.org/0000-0003-3501-9142"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fukun Bi","raw_affiliation_strings":["North China University of Technology,College of Information,Beijing,China,100144"],"affiliations":[{"raw_affiliation_string":"North China University of Technology,College of Information,Beijing,China,100144","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026461501","display_name":"Zhihao Che","orcid":null},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Che","raw_affiliation_strings":["North China University of Technology,College of Information,Beijing,China,100144"],"affiliations":[{"raw_affiliation_string":"North China University of Technology,College of Information,Beijing,China,100144","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107013105","display_name":"Meng-Jie Kou","orcid":null},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengjie Kou","raw_affiliation_strings":["North China University of Technology,College of Information,Beijing,China,100144"],"affiliations":[{"raw_affiliation_string":"North China University of Technology,College of Information,Beijing,China,100144","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113368529","display_name":"Xiaoci Li","orcid":null},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoci Li","raw_affiliation_strings":["North China University of Technology,College of Information,Beijing,China,100144"],"affiliations":[{"raw_affiliation_string":"North China University of Technology,College of Information,Beijing,China,100144","institution_ids":["https://openalex.org/I1456306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5113368528"],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14243726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7765","last_page":"7768"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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"}}],"keywords":[{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.8228490352630615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7579675912857056},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7279068827629089},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5977970361709595},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5764262676239014},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5521926283836365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49321216344833374},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44696637988090515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35475194454193115}],"concepts":[{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.8228490352630615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7579675912857056},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7279068827629089},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5977970361709595},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5764262676239014},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5521926283836365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49321216344833374},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44696637988090515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35475194454193115},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10642057","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10642057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2193145675","https://openalex.org/W2963037989","https://openalex.org/W3018757597","https://openalex.org/W3096609285","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W4362703401","https://openalex.org/W4400073289","https://openalex.org/W6784094891","https://openalex.org/W6809665764"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W3155418658","https://openalex.org/W4243199227","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"images":[2],"often":[3],"present":[4],"complex":[5],"backgrounds,":[6],"introducing":[7],"significant":[8],"noise":[9],"that":[10,87],"hinders":[11],"feature":[12],"extraction":[13],"and":[14,34,58],"object":[15],"detection,":[16],"particularly":[17],"for":[18],"small":[19],"objects.":[20],"This":[21],"paper":[22],"introduces":[23],"the":[24,47,73,79,99],"Multilevel":[25],"Feature-Aware":[26],"Hybrid":[27],"Encoder":[28],"(MFA-Encoder),":[29],"designed":[30],"to":[31,67],"efficiently":[32],"extract":[33],"fuse":[35],"features":[36,68],"by":[37],"selectively":[38],"employing":[39],"different":[40],"attention":[41,61],"modules":[42],"at":[43],"various":[44],"levels":[45],"within":[46],"encoder.":[48],"In":[49],"this":[50],"hybrid":[51],"encoder,":[52],"we":[53],"leverage":[54],"self-attention,":[55],"cross-channel":[56],"cross-attention,":[57],"multiscale":[59],"compound":[60],"instead":[62],"of":[63,69,75,81,96],"applying":[64],"self-attention":[65],"mechanisms":[66],"all":[70],"scales.":[71],"Expand":[72],"dimensions":[74],"high-level":[76],"features,":[77],"reinforce":[78],"representation":[80],"low-level":[82],"features.":[83],"Comprehensive":[84],"experiments":[85],"demonstrate":[86],"our":[88],"model":[89],"achieves":[90],"best":[91],"performance":[92],"with":[93],"an":[94],"AP":[95],"65.5%":[97],"on":[98],"DIOR":[100],"dataset.":[101]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
