{"id":"https://openalex.org/W2991640643","doi":"https://doi.org/10.1109/tip.2021.3118953","title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","display_name":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W2991640643","doi":"https://doi.org/10.1109/tip.2021.3118953","mag":"2991640643","pmid":"https://pubmed.ncbi.nlm.nih.gov/34735334"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3118953","doi":"https://doi.org/10.1109/tip.2021.3118953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3118953","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Image Processing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2012.01724","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101834543","display_name":"Ping-Yang Chen","orcid":"https://orcid.org/0000-0002-9834-3671","observed_orcids":["https://orcid.org/0000-0002-9834-3671"]},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ping-Yang Chen","raw_affiliation_strings":["National Yang Ming Chiao Tung University, Hsinchu, Taiwan","National Chiao Tung Univ.#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-9834-3671","affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"National Chiao Tung Univ.#TAB#","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012638803","display_name":"Ming\u2010Ching Chang","orcid":"https://orcid.org/0000-0001-9325-5341","observed_orcids":["https://orcid.org/0000-0001-9325-5341"]},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming-Ching Chang","raw_affiliation_strings":["University at Albany, SUNY, Albany, NY, USA","Univ. at Albany/SUNY"],"raw_orcid":"https://orcid.org/0000-0001-9325-5341","affiliations":[{"raw_affiliation_string":"University at Albany, SUNY, Albany, NY, USA","institution_ids":["https://openalex.org/I392282"]},{"raw_affiliation_string":"Univ. at Albany/SUNY","institution_ids":["https://openalex.org/I392282"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jun-Wei Hsieh","orcid":"https://orcid.org/0000-0003-4729-0730","observed_orcids":["https://orcid.org/0000-0003-4729-0730"]},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jun-Wei Hsieh","raw_affiliation_strings":["College of Artificial Intelligence and Green Energy, National Yang Ming Chiao Tung University, Tainan, Taiwan","National Chiao Tung Univ.#TAB#"],"raw_orcid":"https://orcid.org/0000-0003-4729-0730","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence and Green Energy, National Yang Ming Chiao Tung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"National Chiao Tung Univ.#TAB#","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100739157","display_name":"Yong\u2010Sheng Chen","orcid":"https://orcid.org/0000-0002-5581-850X","observed_orcids":["https://orcid.org/0000-0002-5581-850X","https://orcid.org/0009-0008-0042-7326"]},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yong-Sheng Chen","raw_affiliation_strings":["National Yang Ming Chiao Tung University, Hsinchu, Taiwan","National Chiao Tung Univ.#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-5581-850X","affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"National Chiao Tung Univ.#TAB#","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":6.1345,"has_fulltext":true,"cited_by_count":142,"citation_normalized_percentile":{"value":0.97747687,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":100},"biblio":{"volume":"30","issue":null,"first_page":"9099","last_page":"9111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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":0.9980000257492065,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.000699999975040555,"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":0.0005000000237487257,"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/single-shot-object-detection","display_name":"single-shot object detection","score":0.9860000014305115},{"id":"https://openalex.org/keywords/feature-pyramid-network","display_name":"feature pyramid network","score":0.9729999899864197},{"id":"https://openalex.org/keywords/small-object-detection","display_name":"small object detection","score":0.8100000023841858},{"id":"https://openalex.org/keywords/large-object-detection","display_name":"large object detection","score":0.9490000009536743},{"id":"https://openalex.org/keywords/residual-design","display_name":"residual design","score":0.515999972820282},{"id":"https://openalex.org/keywords/positioning-accuracy","display_name":"positioning accuracy","score":0.5400000214576721},{"id":"https://openalex.org/keywords/ms-coco","display_name":"MS COCO","score":0.9580000042915344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7495812773704529},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7316349744796753},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6973425149917603},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6781808137893677},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6597762107849121},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6573517918586731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5690302848815918},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.556592583656311},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5200076699256897},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4513586163520813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41573256254196167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3379476070404053},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20026028156280518},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09087032079696655},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08842736482620239},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tip.2021.3118953","doi":"https://doi.org/10.1109/tip.2021.3118953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3118953","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:34735334","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34735334","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:2012.01724","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.01724","pdf_url":"https://arxiv.org/pdf/2012.01724","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2991640643","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2012.01724","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2012.01724","doi":"https://doi.org/10.48550/arxiv.2012.01724","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2012.01724","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2012.01724","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.01724","pdf_url":"https://arxiv.org/pdf/2012.01724","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G4760393810","display_name":"Development of Traffic Flow Estimation and Control System Based on Lightweight Deep Network Architecture Design","funder_award_id":"MOST109-2221-E009-116-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G5315918522","display_name":null,"funder_award_id":"2022/23","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G5673388546","display_name":"Development of Ai Platform of Smart Drone \u2500 Intelligent Fight Control( Iv )","funder_award_id":"MOST110-2634-F009-018","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G8808958241","display_name":"Deep Learning for Multimedia Information Processing and Applications( Iv )","funder_award_id":"MOST110-2634-F001-007","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320311508","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2991640643.pdf","grobid_xml":"https://content.openalex.org/works/W2991640643.grobid-xml"},"referenced_works_count":89,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1483870316","https://openalex.org/W1487583988","https://openalex.org/W1523493493","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2050398567","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2163345210","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2179352600","https://openalex.org/W2194775991","https://openalex.org/W2288122362","https://openalex.org/W2341497066","https://openalex.org/W2407521645","https://openalex.org/W2474309084","https://openalex.org/W2552639984","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2579152745","https://openalex.org/W2579985080","https://openalex.org/W2601564443","https://openalex.org/W2612445135","https://openalex.org/W2743620784","https://openalex.org/W2752825721","https://openalex.org/W2765226219","https://openalex.org/W2768489488","https://openalex.org/W2783119789","https://openalex.org/W2796210376","https://openalex.org/W2796347433","https://openalex.org/W2796502408","https://openalex.org/W2798821117","https://openalex.org/W2811000414","https://openalex.org/W2886335102","https://openalex.org/W2891894830","https://openalex.org/W2894400606","https://openalex.org/W2894878591","https://openalex.org/W2896155169","https://openalex.org/W2897670923","https://openalex.org/W2899607431","https://openalex.org/W2913314773","https://openalex.org/W2919010068","https://openalex.org/W2921070837","https://openalex.org/W2934198733","https://openalex.org/W2936599103","https://openalex.org/W2937108468","https://openalex.org/W2945444597","https://openalex.org/W2946948417","https://openalex.org/W2962917547","https://openalex.org/W2962992847","https://openalex.org/W2963058975","https://openalex.org/W2963125010","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963542991","https://openalex.org/W2963604034","https://openalex.org/W2963786238","https://openalex.org/W2963857746","https://openalex.org/W2964241181","https://openalex.org/W2979332630","https://openalex.org/W2981392049","https://openalex.org/W2981927700","https://openalex.org/W2982770724","https://openalex.org/W2985405845","https://openalex.org/W2989604896","https://openalex.org/W2997408160","https://openalex.org/W2998349856","https://openalex.org/W3005651405","https://openalex.org/W3012183369","https://openalex.org/W3012573144","https://openalex.org/W3018757597","https://openalex.org/W3021857674","https://openalex.org/W3029515339","https://openalex.org/W3034971973","https://openalex.org/W3035396860","https://openalex.org/W3042011474","https://openalex.org/W3092153824","https://openalex.org/W3106250896","https://openalex.org/W3138819159","https://openalex.org/W3163324266","https://openalex.org/W3164612304","https://openalex.org/W3174604157","https://openalex.org/W6750227808","https://openalex.org/W6777046832"],"related_works":["https://openalex.org/W4394651780","https://openalex.org/W4285122019","https://openalex.org/W4214618900","https://openalex.org/W4297399633","https://openalex.org/W4210553630","https://openalex.org/W4392600334","https://openalex.org/W2894878591","https://openalex.org/W4381054455","https://openalex.org/W3013362593","https://openalex.org/W4285410089"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"the":[3,29,71,103,146,223],"Parallel":[4],"Residual":[5],"Bi-Fusion":[6],"Feature":[7,18],"Pyramid":[8,19],"Network":[9],"(PRB-FPN)":[10],"for":[11,98,140],"fast":[12],"and":[13,67,88,91,122,132,176,205,225],"accurate":[14,36,62,99],"single-shot":[15],"object":[16],"detection.":[17],"(FP)":[20],"is":[21,46,162],"widely":[22],"used":[23],"in":[24,173,182],"recent":[25],"visual":[26],"detection,":[27],"however":[28],"top-down":[30,175],"pathway":[31,139],"of":[32,44,64,189,211],"FP":[33,45,83,110,149],"cannot":[34,59],"preserve":[35],"localization":[37],"due":[38],"to":[39,94,118,145,165,193,196],"pooling":[40],"shifting.":[41],"The":[42,216],"advantage":[43],"weakened":[47],"as":[48],"deeper":[49,212],"backbones":[50],"with":[51,85,112,127,207],"more":[52],"layers":[53],"are":[54],"used.":[55],"In":[56],"addition,":[57],"it":[58],"keep":[60],"up":[61],"detection":[63],"both":[65,120,174],"small":[66,121],"large":[68,123],"objects":[69,124],"at":[70,125],"same":[72],"time.":[73],"To":[74],"address":[75],"these":[76],"issues,":[77],"we":[78],"propose":[79],"a":[80,113,137,184,190,197,208],"new":[81,198],"parallel":[82,108],"structure":[84,111],"bi-directional":[86,147],"(top-down":[87],"bottom-up)":[89],"fusion":[90,115,148],"associated":[92],"improvements":[93],"retain":[95,166],"high-quality":[96],"features":[97],"localization.":[100],"We":[101],"provide":[102],"following":[104],"design":[105,192],"improvements:":[106],"1)":[107],"bifusion":[109],"bottom-up":[114,138,177],"module":[116,135,200],"(BFM)":[117],"detect":[119],"once":[126],"high":[128],"accuracy;":[129],"2)":[130],"concatenation":[131],"re-organization":[133],"(CORE)":[134],"provides":[136],"feature":[141,157,161],"fusion,":[142],"which":[143],"leads":[144,195],"that":[150,201],"can":[151,179],"recover":[152],"lost":[153],"information":[154],"from":[155],"lower-layer":[156],"maps;":[158],"3)":[159],"CORE":[160,171,194],"further":[163],"purified":[164],"richer":[167],"contextual":[168],"information.":[169],"Such":[170],"purification":[172],"pathways":[178],"be":[180],"finished":[181],"only":[183],"few":[185],"iterations;":[186],"4)":[187],"adding":[188],"residual":[191],"Re-CORE":[199],"enables":[202],"easy":[203],"training":[204],"integration":[206],"wide":[209],"range":[210],"or":[213],"lighter":[214],"backbones.":[215],"proposed":[217],"network":[218],"achieves":[219],"state-of-the-art":[220],"performance":[221],"on":[222],"UAVDT17":[224],"MS":[226],"COCO":[227],"datasets.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":25},{"year":2025,"cited_by_count":36},{"year":2024,"cited_by_count":41},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2019-12-05T00:00:00"}