{"id":"https://openalex.org/W4413918300","doi":"https://doi.org/10.1109/icra55743.2025.11127970","title":"Feedback RoI Features Improve Aerial Object Detection","display_name":"Feedback RoI Features Improve Aerial Object Detection","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413918300","doi":"https://doi.org/10.1109/icra55743.2025.11127970"},"language":"en","primary_location":{"id":"doi:10.1109/icra55743.2025.11127970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","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/A5029172080","display_name":"Botao Ren","orcid":"https://orcid.org/0009-0001-1646-9183"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Botao Ren","raw_affiliation_strings":["Tsinghua University,Department of Computer Science,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039323614","display_name":"Botian Xu","orcid":"https://orcid.org/0000-0001-5243-4298"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Botian Xu","raw_affiliation_strings":["Institute for Interdisciplinary Information Sciences, Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Institute for Interdisciplinary Information Sciences, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736344","display_name":"Jingyi Wang","orcid":"https://orcid.org/0000-0002-7649-3011"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Wang","raw_affiliation_strings":["Tsinghua University,Department of Computer Science,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hanwei Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I3132425485","display_name":"Shanghai American School","ror":"https://ror.org/03xzda142","country_code":"CN","type":"education","lineage":["https://openalex.org/I3132425485"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanwei Gao","raw_affiliation_strings":["SAIC AI LAB,Shanghai,China,201306"],"affiliations":[{"raw_affiliation_string":"SAIC AI LAB,Shanghai,China,201306","institution_ids":["https://openalex.org/I3132425485"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100309841","display_name":"Qiankun Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I3132425485","display_name":"Shanghai American School","ror":"https://ror.org/03xzda142","country_code":"CN","type":"education","lineage":["https://openalex.org/I3132425485"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiankun Yu","raw_affiliation_strings":["SAIC AI LAB,Shanghai,China,201306"],"affiliations":[{"raw_affiliation_string":"SAIC AI LAB,Shanghai,China,201306","institution_ids":["https://openalex.org/I3132425485"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102011846","display_name":"Zhidong Deng","orcid":"https://orcid.org/0000-0001-9970-1023"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhidong Deng","raw_affiliation_strings":["Tsinghua University,State Key Laboratory of Intelligent Technology and Systems,Beijing National Research Center for Information Science and Technology (BNRist), THUAI, Department of Computer Science,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,State Key Laboratory of Intelligent Technology and Systems,Beijing National Research Center for Information Science and Technology (BNRist), THUAI, Department of Computer Science,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029172080"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28958301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11728","last_page":"11735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9627000093460083,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9344000220298767,"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":0.7228729128837585},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6927410364151001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5999235510826111},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5831129550933838},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5280797481536865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.24011138081550598}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7228729128837585},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6927410364151001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5999235510826111},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5831129550933838},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5280797481536865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.24011138081550598}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra55743.2025.11127970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1992007613","https://openalex.org/W2055884847","https://openalex.org/W2102605133","https://openalex.org/W2148764920","https://openalex.org/W2193145675","https://openalex.org/W2288122362","https://openalex.org/W2565639579","https://openalex.org/W2594177559","https://openalex.org/W2752782242","https://openalex.org/W2899594603","https://openalex.org/W2899607431","https://openalex.org/W2962749812","https://openalex.org/W2962917547","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963849369","https://openalex.org/W2963857746","https://openalex.org/W2964979676","https://openalex.org/W2986499456","https://openalex.org/W2991359031","https://openalex.org/W2991363140","https://openalex.org/W3034993937","https://openalex.org/W3106728613","https://openalex.org/W3121020412","https://openalex.org/W3136761610","https://openalex.org/W3170033848","https://openalex.org/W3174873843","https://openalex.org/W3175496347","https://openalex.org/W4207055281","https://openalex.org/W4213251678","https://openalex.org/W4214648418","https://openalex.org/W4225125774","https://openalex.org/W4283800076","https://openalex.org/W4289752563","https://openalex.org/W4390874500"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Research":[0],"in":[1,42,90,137,168],"visual":[2,9],"perception":[3],"has":[4],"shown":[5],"that":[6,107,148],"the":[7,31,94,134,149],"human":[8],"system":[10],"utilizes":[11],"high-level":[12],"feedback":[13,50],"information":[14],"to":[15,21,37,88,98,162],"guide":[16],"lower-level":[17],"processing,":[18],"enabling":[19],"adaptation":[20],"signals":[22],"of":[23,113],"varying":[24],"characteristics.":[25],"Inspired":[26],"by":[27],"this,":[28],"we":[29],"propose":[30],"Feedback":[32],"multi-Level":[33],"feature":[34,40,95],"Extractor":[35],"(Flex)":[36],"dynamically":[38],"adjust":[39],"selection":[41],"object":[43,61,119,139],"detection":[44,84,120,140],"based":[45],"on":[46,116,130],"image-wise":[47],"and":[48,66,125,144],"instance-level":[49],"information.":[51],"This":[52],"is":[53],"particularly":[54],"beneficial":[55],"for":[56],"applications":[57],"such":[58],"as":[59],"aerial":[60,118],"detection,":[62],"UAV-based":[63],"target":[64],"recognition":[65],"autonomous":[67],"vehicle":[68],"navigation,":[69],"where":[70],"global":[71,164],"image":[72,91,155,165],"quality":[73,166],"issues":[74,167],"like":[75],"sensor":[76],"degradation,":[77],"foggy,":[78],"or":[79],"rainy":[80],"conditions":[81],"can":[82],"impact":[83],"performance.":[85],"Flex":[86,108],"adapts":[87],"variations":[89],"quality,":[92,156],"refining":[93],"extraction":[96],"process":[97],"improve":[99],"robustness":[100],"against":[101],"these":[102],"challenges.":[103],"Experimental":[104],"results":[105],"demonstrate":[106],"consistently":[109],"enhances":[110],"a":[111],"range":[112],"state-of-the-art":[114],"methods":[115],"challenging":[117],"datasets,":[121],"including":[122],"DOTA-v1.0,":[123],"DOTA-v1.5,":[124],"HRSC2016.":[126],"Furthermore,":[127],"additional":[128],"experiments":[129],"MS":[131],"COCO":[132],"confirm":[133],"module's":[135],"effectiveness":[136],"general":[138],"tasks.":[141],"Our":[142],"quantitative":[143],"qualitative":[145],"analyses":[146],"reveal":[147],"improvements":[150],"are":[151],"strongly":[152],"correlated":[153],"with":[154,158],"aligning":[157],"our":[159],"original":[160],"motivation":[161],"address":[163],"real-world":[169],"scenarios.":[170]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}