{"id":"https://openalex.org/W4290994873","doi":"https://doi.org/10.1109/tcsvt.2022.3198329","title":"Scale-Balanced Real-Time Object Detection With Varying Input-Image Resolution","display_name":"Scale-Balanced Real-Time Object Detection With Varying Input-Image Resolution","publication_year":2022,"publication_date":"2022-08-11","ids":{"openalex":"https://openalex.org/W4290994873","doi":"https://doi.org/10.1109/tcsvt.2022.3198329"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3198329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3198329","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5005834594","display_name":"Longbin Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Longbin Yan","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011611330","display_name":"Yunxiao Qin","orcid":"https://orcid.org/0000-0003-3209-020X"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunxiao Qin","raw_affiliation_strings":["Neuroscience and Intelligent Media Institute, Communication University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Neuroscience and Intelligent Media Institute, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333004","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0003-2306-8860"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005834594"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":1.6333,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.84878325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"33","issue":"1","first_page":"242","last_page":"256"},"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":0.9970999956130981,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.991100013256073,"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":0.7915859222412109},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6841778755187988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6597632169723511},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6511176824569702},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5800080299377441},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5363980531692505},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5076824426651001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47078388929367065},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.45296525955200195},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.435039222240448}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7915859222412109},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6841778755187988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6597632169723511},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6511176824569702},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5800080299377441},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5363980531692505},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5076824426651001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47078388929367065},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.45296525955200195},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.435039222240448},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3198329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3198329","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5}],"awards":[{"id":"https://openalex.org/G5122840443","display_name":null,"funder_award_id":"62192713","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6093635115","display_name":null,"funder_award_id":"62171380","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2129987527","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2601564443","https://openalex.org/W2622263826","https://openalex.org/W2752782242","https://openalex.org/W2768489488","https://openalex.org/W2883780447","https://openalex.org/W2884585870","https://openalex.org/W2886904239","https://openalex.org/W2917092108","https://openalex.org/W2920326761","https://openalex.org/W2924873663","https://openalex.org/W2928165649","https://openalex.org/W2934198733","https://openalex.org/W2962721361","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963113370","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2963179609","https://openalex.org/W2963287324","https://openalex.org/W2963299996","https://openalex.org/W2963351448","https://openalex.org/W2963849369","https://openalex.org/W2963857746","https://openalex.org/W2964241181","https://openalex.org/W2966926453","https://openalex.org/W2967636939","https://openalex.org/W2982220924","https://openalex.org/W2982770724","https://openalex.org/W2986357608","https://openalex.org/W2987322772","https://openalex.org/W2987761193","https://openalex.org/W2991089415","https://openalex.org/W2997408160","https://openalex.org/W2998564420","https://openalex.org/W3011606420","https://openalex.org/W3011906828","https://openalex.org/W3012573144","https://openalex.org/W3016916515","https://openalex.org/W3018902719","https://openalex.org/W3020658963","https://openalex.org/W3034427487","https://openalex.org/W3034971973","https://openalex.org/W3035396860","https://openalex.org/W3035473155","https://openalex.org/W3035694605","https://openalex.org/W3048030262","https://openalex.org/W3096609285","https://openalex.org/W3117707016","https://openalex.org/W3120031785","https://openalex.org/W3137160206","https://openalex.org/W3138516171","https://openalex.org/W3138958001","https://openalex.org/W3157386596","https://openalex.org/W3167976421","https://openalex.org/W3171660447","https://openalex.org/W3172087149","https://openalex.org/W3205483686","https://openalex.org/W4214507171","https://openalex.org/W4226372493","https://openalex.org/W4288325606","https://openalex.org/W4293584584","https://openalex.org/W6679461745","https://openalex.org/W6714138976","https://openalex.org/W6739622702","https://openalex.org/W6750227808","https://openalex.org/W6751325469","https://openalex.org/W6760424586","https://openalex.org/W6764322716","https://openalex.org/W6771062828","https://openalex.org/W6776254782","https://openalex.org/W6779586474","https://openalex.org/W6781575362","https://openalex.org/W6784094891","https://openalex.org/W6788135285","https://openalex.org/W6796814978","https://openalex.org/W6801512601","https://openalex.org/W6802599522"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W4321636575","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W2045526782","https://openalex.org/W2741131631","https://openalex.org/W2156919374","https://openalex.org/W1984019423","https://openalex.org/W4280588203","https://openalex.org/W1483472507"],"abstract_inverted_index":{"Current":[0],"object-detection":[1,79],"methods":[2,226],"for":[3,22,32,45,81,125],"small-scale":[4],"objects":[5,47,100],"are":[6],"often":[7],"marred":[8],"by":[9,144,158],"poor":[10],"performance.":[11],"Using":[12],"relatively":[13],"high-resolution":[14,60,122,145,186],"input":[15,52,187],"images":[16,53,61,188],"can":[17,131],"be":[18],"considered":[19],"a":[20,76,107,148],"remedy":[21],"this":[23,37,72],"issue,":[24],"but":[25],"it":[26,229],"usually":[27],"leads":[28],"to":[29,91,113,154,171,227],"performance":[30,44,93,116,157],"degeneration":[31],"large-scale":[33,99,126],"objects.":[34,83,127],"We":[35,84],"define":[36],"problem":[38],"as":[39],"the":[40,49,57,88,92,96,115,134,181,201,207,225],"imbalance":[41],"of":[42,51,59,98,117,136,184],"detection":[43,97,120,150],"multi-scale":[46,82,118],"when":[48],"resolution":[50],"varies.":[54],"In":[55,71],"addition,":[56],"use":[58],"results":[62],"in":[63,86,95,121],"significant":[64,222],"computational":[65,137],"resource":[66,138],"consumption":[67,139],"and":[68,105,140,161,164,189,197,215],"inference-speed":[69,141],"impairment.":[70],"paper,":[73],"we":[74],"propose":[75,106],"friendly":[77],"varying-resolution":[78],"method":[80],"analyze":[85],"detail":[87],"reasons":[89],"leading":[90],"degradation":[94],"with":[101],"increasing":[102],"input-image":[103],"resolution,":[104],"novel":[108],"lightweight":[109],"bidirectional":[110],"feature-flow":[111],"module":[112,168],"enhance":[114],"object":[119],"images,":[123],"especially":[124],"The":[128,177],"proposed":[129,178],"approach":[130],"also":[132],"ease":[133],"problems":[135],"impairment":[142],"caused":[143],"images.":[146],"Additionally,":[147],"decoupled":[149],"head":[151],"is":[152,169,230],"designed":[153,170],"further":[155],"improve":[156],"separating":[159],"classification":[160],"regression":[162],"sub-tasks,":[163],"an":[165,191],"adaptive":[166],"feature-fusion":[167],"better":[172],"fuse":[173],"different":[174],"feature":[175],"levels.":[176],"scheme":[179,208],"alleviates":[180],"negative":[182],"effects":[183],"using":[185],"achieves":[190,209],"excellent":[192],"balance":[193],"between":[194],"inference":[195],"speed":[196],"precision.":[198],"Experiments":[199],"on":[200],"MS":[202],"COCO":[203],"dataset":[204],"show":[205],"that":[206],"44.6":[210],"AP":[211,217],"at":[212,218],"42.6":[213],"FPS":[214],"47":[216],"26.7":[219],"FPS,":[220],"showing":[221],"advantages":[223],"over":[224],"which":[228],"compared.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}