{"id":"https://openalex.org/W4412985004","doi":"https://doi.org/10.1109/tcsvt.2025.3596152","title":"SFCE-Det: Sub-Feature Fusion and Cross-Layer Perceptual Enhancement Detector","display_name":"SFCE-Det: Sub-Feature Fusion and Cross-Layer Perceptual Enhancement Detector","publication_year":2025,"publication_date":"2025-08-05","ids":{"openalex":"https://openalex.org/W4412985004","doi":"https://doi.org/10.1109/tcsvt.2025.3596152"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3596152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3596152","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/A5101498868","display_name":"Xiao Ke","orcid":"https://orcid.org/0000-0001-9059-5391"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao Ke","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, College of Computer and Data Science, Fuzhou University, Fuzhou, China","College of Computer and Data Science, Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9059-5391","affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061086608","display_name":"Wenyao Chen","orcid":"https://orcid.org/0000-0002-1689-8105"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyao Chen","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, College of Computer and Data Science, Fuzhou University, Fuzhou, China","College of Computer and Data Science, Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1689-8105","affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101498868"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25381123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"1","first_page":"119","last_page":"132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9836000204086304,"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":0.9836000204086304,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.958899974822998,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.954200029373169,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.5456122159957886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5453859567642212},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5399700403213501},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5054566860198975},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.47131142020225525},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4621267020702362},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44428032636642456},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33401304483413696},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1942598819732666},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10157907009124756}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5456122159957886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5453859567642212},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5399700403213501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5054566860198975},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.47131142020225525},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4621267020702362},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44428032636642456},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33401304483413696},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1942598819732666},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10157907009124756},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3596152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3596152","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":[],"awards":[{"id":"https://openalex.org/G2167958946","display_name":null,"funder_award_id":"61972097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2975889368","display_name":null,"funder_award_id":"2020J01494","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G3794798619","display_name":null,"funder_award_id":"U21A20472","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6207334552","display_name":null,"funder_award_id":"2021J01612","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320330172","display_name":"National Engineering Research Center of Building Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2194775991","https://openalex.org/W2883780447","https://openalex.org/W2962721361","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2982083293","https://openalex.org/W2989604896","https://openalex.org/W3018757597","https://openalex.org/W3035396860","https://openalex.org/W3035414587","https://openalex.org/W3096609285","https://openalex.org/W3108849448","https://openalex.org/W3113272803","https://openalex.org/W3148722043","https://openalex.org/W3167308647","https://openalex.org/W3173270634","https://openalex.org/W3180134609","https://openalex.org/W3192404420","https://openalex.org/W3193310807","https://openalex.org/W3199093552","https://openalex.org/W3203003533","https://openalex.org/W3203974803","https://openalex.org/W3211113236","https://openalex.org/W3216056779","https://openalex.org/W4214620071","https://openalex.org/W4214627427","https://openalex.org/W4214630075","https://openalex.org/W4214817912","https://openalex.org/W4214841728","https://openalex.org/W4225745741","https://openalex.org/W4233467483","https://openalex.org/W4283030623","https://openalex.org/W4285601858","https://openalex.org/W4290994873","https://openalex.org/W4297676427","https://openalex.org/W4312271187","https://openalex.org/W4312312588","https://openalex.org/W4312443924","https://openalex.org/W4313139043","https://openalex.org/W4316660774","https://openalex.org/W4318586078","https://openalex.org/W4377079728","https://openalex.org/W4379928223","https://openalex.org/W4383112609","https://openalex.org/W4384284030","https://openalex.org/W4385245566","https://openalex.org/W4386047745","https://openalex.org/W4386076325","https://openalex.org/W4386412297","https://openalex.org/W4387415336","https://openalex.org/W4389891293","https://openalex.org/W4390872550","https://openalex.org/W4393147877","https://openalex.org/W4402754006","https://openalex.org/W4403635670","https://openalex.org/W4403722751","https://openalex.org/W4405754087","https://openalex.org/W4410115129"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2074467390","https://openalex.org/W2795393339","https://openalex.org/W2626393719","https://openalex.org/W4390618967","https://openalex.org/W2174745845","https://openalex.org/W2063058012"],"abstract_inverted_index":{"Edge":[0],"devices":[1],"face":[2],"a":[3,70,88,121],"pressing":[4],"demand":[5],"for":[6,91],"low-cost":[7],"object":[8,32,147],"detection":[9],"networks.":[10],"However,":[11,176],"because":[12],"of":[13,47,136,166,181,186],"limited":[14],"computational":[15,73],"resources,":[16],"lightweight":[17,92,111,146],"detectors":[18],"often":[19],"suffer":[20],"significant":[21],"performance":[22,37,135],"degradation.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,119],"propose":[28,120],"SFCE-Det,":[29],"an":[30,155,163],"efficient":[31],"detector":[33],"that":[34,126,141],"achieves":[35,162],"remarkable":[36],"with":[38],"remarkably":[39],"few":[40],"parameters":[41,183,192],"and":[42,56,85,184,193],"GFLOPs.":[43],"The":[44],"key":[45],"contribution":[46],"our":[48],"work":[49],"lies":[50],"in":[51],"the":[52,95,134,169,182,187],"novel":[53],"subfeature":[54],"fusion":[55],"cross-layer":[57],"perceptual":[58],"enhancement":[59],"block":[60],"(SFCE-Block),":[61],"which":[62,189],"effectively":[63],"extracts":[64],"feature":[65],"information":[66],"from":[67],"images":[68],"at":[69],"very":[71],"low":[72,157],"cost.":[74,158],"SFCE-Block":[75,97],"can":[76,98],"be":[77,101],"seamlessly":[78],"integrated":[79],"into":[80],"existing":[81],"convolutional":[82],"neural":[83],"networks":[84],"serves":[86],"as":[87],"plug-and-play":[89],"component":[90],"upgrades":[93],"to":[94,103,131,174],"network.":[96],"not":[99],"only":[100,179],"used":[102],"upgrade":[104],"classic":[105],"models":[106,115],"but":[107],"also":[108],"has":[109],"excellent":[110],"effects":[112],"on":[113,149,168],"state-of-the-art":[114,145],"(e.g.":[116],"YoLOv8).":[117],"Additionally,":[118],"dynamic":[122],"label":[123,129],"assignment":[124],"strategy":[125],"leverages":[127],"global":[128],"correlation":[130],"further":[132],"enhance":[133],"SFCE-Det.":[137],"Experimental":[138],"results":[139],"demonstrate":[140],"SFCE-Det":[142],"surpasses":[143],"many":[144],"detectors,":[148],"multiple":[150],"public":[151],"datasets":[152],"while":[153],"maintaining":[154],"extremely":[156],"For":[159],"example,":[160],"SFCE-Det-D2":[161,177],"impressive":[164],"mAP":[165],"83.4%":[167],"PASCAL":[170],"VOC":[171],"dataset,":[172],"comparable":[173],"YOLOv8-S.":[175],"requires":[178],"26%":[180],"35%":[185],"GFLOPs,":[188,195],"are":[190],"2.96M":[191],"9.9":[194],"respectively.":[196]},"counts_by_year":[],"updated_date":"2026-01-29T23:13:10.619473","created_date":"2025-10-10T00:00:00"}
