{"id":"https://openalex.org/W4404207992","doi":"https://doi.org/10.1007/s40747-024-01622-w","title":"Refined feature enhancement network for object detection","display_name":"Refined feature enhancement network for object detection","publication_year":2024,"publication_date":"2024-11-09","ids":{"openalex":"https://openalex.org/W4404207992","doi":"https://doi.org/10.1007/s40747-024-01622-w"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01622-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01622-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01622-w.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01622-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015545142","display_name":"Zonghui Li","orcid":"https://orcid.org/0000-0002-0772-1738"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zonghui Li","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang, 471023, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang, 471023, China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062388461","display_name":"Yongsheng Dong","orcid":"https://orcid.org/0000-0002-6281-9658"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Dong","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang, 471023, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang, 471023, China","institution_ids":["https://openalex.org/I167383011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015545142"],"corresponding_institution_ids":["https://openalex.org/I167383011"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.7679,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73876535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983999729156494,"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":0.9975000023841858,"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/computational-intelligence","display_name":"Computational intelligence","score":0.7506482601165771},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6699565649032593},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5272171497344971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4901779294013977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47328585386276245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44709885120391846}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.7506482601165771},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6699565649032593},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5272171497344971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4901779294013977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47328585386276245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44709885120391846},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01622-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01622-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01622-w.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7df70e54e3884e089c6bea4b7bbeca59","is_oa":true,"landing_page_url":"https://doaj.org/article/7df70e54e3884e089c6bea4b7bbeca59","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-15 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01622-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01622-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01622-w.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6860304786","display_name":null,"funder_award_id":"232300421023","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"}],"funders":[{"id":"https://openalex.org/F4320323845","display_name":"Natural Science Foundation of Henan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4404207992.pdf"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W1932624639","https://openalex.org/W1981276685","https://openalex.org/W2031489346","https://openalex.org/W2102605133","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2288122362","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2752782242","https://openalex.org/W2768489488","https://openalex.org/W2884585870","https://openalex.org/W2934198733","https://openalex.org/W2962949934","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963299996","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2982770724","https://openalex.org/W2986357608","https://openalex.org/W2988452521","https://openalex.org/W2989604896","https://openalex.org/W3012573144","https://openalex.org/W3034429256","https://openalex.org/W3034552520","https://openalex.org/W3034971973","https://openalex.org/W3035396860","https://openalex.org/W3042011474","https://openalex.org/W3096609285","https://openalex.org/W3106250896","https://openalex.org/W3107473354","https://openalex.org/W3138516171","https://openalex.org/W3172509117","https://openalex.org/W3174429308","https://openalex.org/W3177052299","https://openalex.org/W3179888767","https://openalex.org/W4225659328","https://openalex.org/W4226297238","https://openalex.org/W4226363321","https://openalex.org/W4283807197","https://openalex.org/W4283812015","https://openalex.org/W4298143102","https://openalex.org/W4312820606","https://openalex.org/W4372347372","https://openalex.org/W4381537487","https://openalex.org/W4384822009","https://openalex.org/W4385257519","https://openalex.org/W4386075524","https://openalex.org/W4386076325","https://openalex.org/W4386320422","https://openalex.org/W4387220156","https://openalex.org/W4389610030","https://openalex.org/W4389815110","https://openalex.org/W6600013530","https://openalex.org/W6600741150","https://openalex.org/W6610122945"],"related_works":["https://openalex.org/W2736674626","https://openalex.org/W2973875853","https://openalex.org/W3147584709","https://openalex.org/W2737719445","https://openalex.org/W4239098401","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2898210368","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks-based":[2],"object":[3,21,68],"detection":[4,22,38],"techniques":[5],"have":[6],"achieved":[7],"positive":[8],"performances.":[9],"However,":[10],"due":[11],"to":[12,36,79,102,142],"the":[13,41,46,104,122,126,143],"limitations":[14],"of":[15,125],"local":[16,84],"receptive":[17,123],"field,":[18],"some":[19],"existing":[20],"methods":[23],"cannot":[24],"effectively":[25],"capture":[26,80],"global":[27,82],"information":[28,43,85,119],"in":[29,56,107],"feature":[30,42,63,75,87],"extraction":[31],"phases,":[32],"and":[33,83,117,120,136,161],"thus":[34],"lead":[35],"unsatisfactory":[37],"performance.":[39],"Moreover,":[40],"extracted":[44,105],"by":[45,149],"backbone":[47],"network":[48,65],"may":[49],"be":[50],"redundant.":[51],"To":[52],"alleviate":[53],"these":[54],"problems,":[55],"this":[57],"paper":[58],"we":[59,71,129],"propose":[60,73,95],"a":[61,74,96,108],"refined":[62],"enhancement":[64,76],"(RFENet)":[66],"for":[67],"detection.":[69],"Specifically,":[70],"first":[72],"module":[77],"(FEM)":[78],"more":[81,114],"from":[86],"maps":[88],"with":[89],"certain":[90],"long-range":[91],"dependencies.":[92],"We":[93],"further":[94],"multi-branch":[97],"dilated":[98],"attention":[99],"mechanism":[100],"(MDAM)":[101],"refine":[103],"features":[106],"weighted":[109],"form,":[110],"which":[111],"can":[112,174],"select":[113],"important":[115],"spatial":[116],"channel":[118],"broaden":[121],"field":[124],"network.":[127],"Finally,":[128],"validate":[130],"RFENet":[131,147,173],"on":[132,152,157,164,177],"MS-COCO2017,":[133],"PASCAL":[134,137,158,165],"VOC2012,":[135],"VOC07+12":[138,166],"datasets,":[139],"respectively.":[140],"Compared":[141],"baseline":[144],"network,":[145],"our":[146,172],"improves":[148],"2.4":[150],"AP":[151],"MS-COCO2017":[153],"dataset,":[154,160],"3.4":[155],"mAP":[156,163],"VOC2012":[159],"2.7":[162],"dataset.":[167],"Extensive":[168],"experiments":[169],"show":[170],"that":[171],"perform":[175],"competitively":[176],"different":[178],"datasets.":[179],"The":[180],"code":[181],"is":[182],"available":[183],"at":[184],"https://github.com/object9detection/RFENet":[185],".":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}
