{"id":"https://openalex.org/W4372260035","doi":"https://doi.org/10.1109/icassp49357.2023.10096147","title":"Adaptive Scale and Spatial Aggregation for Real-Time Object Detection","display_name":"Adaptive Scale and Spatial Aggregation for Real-Time Object Detection","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260035","doi":"https://doi.org/10.1109/icassp49357.2023.10096147"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100344369","display_name":"Wei Chen","orcid":"https://orcid.org/0009-0000-5168-6645"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["National University of Defense Technology,Changsha,China","National University of Defense Technology, Changsha, China","Defense Innovation Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Defense Innovation Institute, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720970","display_name":"Yulin He","orcid":"https://orcid.org/0000-0003-1380-1088"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin He","raw_affiliation_strings":["National University of Defense Technology,Changsha,China","Defense Innovation Institute, Beijing, China","National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Defense Innovation Institute, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086704876","display_name":"Zhengfa Liang","orcid":"https://orcid.org/0000-0001-7514-4250"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengfa Liang","raw_affiliation_strings":["National University of Defense Technology,Changsha,China","Defense Innovation Institute, Beijing, China","National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Defense Innovation Institute, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013644792","display_name":"Yulan Guo","orcid":"https://orcid.org/0000-0003-0952-476X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulan Guo","raw_affiliation_strings":["National University of Defense Technology,Changsha,China","National University of Defense Technology, Changsha, China","Defense Innovation Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Defense Innovation Institute, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9973000288009644,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9865999817848206,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7975922226905823},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6263768672943115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6225294470787048},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5971543788909912},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5298267006874084},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5189987421035767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5088081955909729},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4979426860809326},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.48161882162094116},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.47952699661254883},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4685555100440979},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4517768919467926},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4312344789505005},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11625844240188599},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08534422516822815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7975922226905823},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6263768672943115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6225294470787048},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5971543788909912},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5298267006874084},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5189987421035767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5088081955909729},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4979426860809326},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.48161882162094116},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.47952699661254883},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4685555100440979},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4517768919467926},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4312344789505005},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11625844240188599},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08534422516822815},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W1955857676","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2963323244","https://openalex.org/W2963351448","https://openalex.org/W2964444661","https://openalex.org/W2966926453","https://openalex.org/W2998564420","https://openalex.org/W3012573144","https://openalex.org/W3034732808","https://openalex.org/W3034971973","https://openalex.org/W3035473155","https://openalex.org/W3035694605","https://openalex.org/W3114509423","https://openalex.org/W3115734461","https://openalex.org/W3172087149","https://openalex.org/W4288325606","https://openalex.org/W4293584584","https://openalex.org/W6620707391","https://openalex.org/W6639102338","https://openalex.org/W6735463952","https://openalex.org/W6770600958","https://openalex.org/W6782744377"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W2180954594","https://openalex.org/W4243305035","https://openalex.org/W1537496349","https://openalex.org/W2379407973"],"abstract_inverted_index":{"Cutting-edge":[0],"real-time":[1,5],"detectors":[2],"usually":[3],"reach":[4],"performance":[6],"by":[7,18],"adopting":[8],"lightweight":[9],"architectures.":[10],"The":[11],"accuracy":[12],"of":[13,46,49],"detection":[14,161],"may":[15],"be":[16],"limited":[17],"their":[19,142],"insufficient":[20],"capabilities":[21],"to":[22,76,101,130],"obtain":[23],"powerful":[24],"feature":[25,116,133],"representation,":[26],"which":[27],"is":[28],"a":[29,44,66,84,93,109,159],"notoriously":[30],"onerous":[31],"task":[32],"in":[33,57,108,136],"machine":[34],"vision":[35],"applications.":[36],"Aiming":[37],"at":[38,51,62,89,166],"this":[39,41],"problem,":[40],"study":[42],"proposes":[43],"method":[45],"adaptive":[47],"aggregation":[48],"features":[50,79,107],"both":[52],"scale":[53,64],"and":[54,138],"spatial":[55,91,144],"levels":[56],"an":[58,121],"anchor-free":[59],"framework:":[60],"1)":[61],"the":[63,90,104,114,132],"level,":[65,92],"Multi-scale":[67],"Point":[68],"Feature":[69],"Fusion":[70],"(MPFF)":[71],"module":[72,126],"has":[73,98,127],"been":[74,99,128],"proposed":[75],"fuse":[77],"point":[78],"from":[80],"multiple":[81],"scales":[82],"via":[83,141],"self-adaptive":[85],"re-weighting":[86],"manner;":[87],"2)":[88],"Restrained":[94],"Deformable":[95],"Convolution":[96],"(R-DCN)":[97],"designed":[100],"focus":[102],"on":[103,119,149],"most":[105],"informative":[106],"pre-defined":[110],"region":[111],"while":[112],"avoiding":[113],"remote":[115],"distraction.":[117],"Based":[118],"R-DCN,":[120],"Adaptive":[122,154],"Spatial":[123],"Aggregation":[124,155],"(ASA)":[125],"presented":[129],"alleviate":[131],"misalignment":[134],"problem":[135],"classification":[137],"regression":[139],"tasks":[140],"respective":[143],"divisions.":[145],"Extensive":[146],"experimental":[147],"results":[148],"MS":[150],"COCO":[151],"indicate":[152],"that":[153],"Detector":[156],"(AADet)":[157],"achieves":[158],"state-of-the-art":[160],"performance,":[162],"i.e.,":[163],"41.8":[164],"AP":[165],"60":[167],"FPS.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}
