{"id":"https://openalex.org/W4402916100","doi":"https://doi.org/10.1109/icip51287.2024.10647308","title":"RFNET: Refined Fusion Three-Branch RGB-D Salient Object Detection Network","display_name":"RFNET: Refined Fusion Three-Branch RGB-D Salient Object Detection Network","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402916100","doi":"https://doi.org/10.1109/icip51287.2024.10647308"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10647308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10647308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/A5014365979","display_name":"Kexuan Wang","orcid":"https://orcid.org/0000-0003-1334-1472"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kexuan Wang","raw_affiliation_strings":["University of Shanghai for Science and Technology,School of Optical-Electrical and Computer Engineering,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology,School of Optical-Electrical and Computer Engineering,China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048297311","display_name":"Chenhua Liu","orcid":"https://orcid.org/0000-0002-0336-9407"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenhua Liu","raw_affiliation_strings":["Guangzhou Nansha Intelligent Photonic Sensing Research Institute,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Nansha Intelligent Photonic Sensing Research Institute,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113405448","display_name":"Huiguang Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiguang Wei","raw_affiliation_strings":["University of Shanghai for Science and Technology,School of Optical-Electrical and Computer Engineering,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology,School of Optical-Electrical and Computer Engineering,China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115589185","display_name":"Jing Li","orcid":"https://orcid.org/0000-0001-9593-6765"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Jing","raw_affiliation_strings":["University of Shanghai for Science and Technology,School of Optical-Electrical and Computer Engineering,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology,School of Optical-Electrical and Computer Engineering,China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084480853","display_name":"Rongfu Zhang","orcid":"https://orcid.org/0000-0002-1387-7376"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongfu Zhang","raw_affiliation_strings":["University of Shanghai for Science and Technology,School of Optical-Electrical and Computer Engineering,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology,School of Optical-Electrical and Computer Engineering,China","institution_ids":["https://openalex.org/I148128674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0936,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78971792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"741","last_page":"746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9958999752998352,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9958999752998352,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9922999739646912,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9646999835968018,"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/computer-science","display_name":"Computer science","score":0.7328833341598511},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5813660025596619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5737311244010925},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5653896331787109},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5008232593536377},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46260201930999756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4593610465526581},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.44355663657188416},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4306289851665497},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32213521003723145}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7328833341598511},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5813660025596619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5737311244010925},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5653896331787109},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5008232593536377},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46260201930999756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4593610465526581},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.44355663657188416},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4306289851665497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32213521003723145},{"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":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10647308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10647308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W20683899","https://openalex.org/W1966025376","https://openalex.org/W1976409045","https://openalex.org/W1993713494","https://openalex.org/W2371838123","https://openalex.org/W2474876375","https://openalex.org/W2765934933","https://openalex.org/W2957414648","https://openalex.org/W3035502324","https://openalex.org/W3035633116","https://openalex.org/W3097053213","https://openalex.org/W3118710621","https://openalex.org/W3175515048","https://openalex.org/W3177040887","https://openalex.org/W4214696292","https://openalex.org/W4285163934","https://openalex.org/W4309721374","https://openalex.org/W4387969113","https://openalex.org/W4390871785"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2031175860","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Salient":[0],"Object":[1],"Detection":[2],"(SOD)":[3],"aims":[4],"to":[5,28,48,70],"identify":[6],"the":[7,16,41,50,59,63,77,86],"most":[8],"attractive":[9],"objects":[10,30],"in":[11],"an":[12],"image.":[13],"To":[14],"solve":[15],"problem":[17],"that":[18],"existing":[19],"RGB-D":[20],"SOD":[21],"methods":[22],"cannot":[23],"fully":[24],"utilize":[25],"multimodal":[26,73],"information":[27,74],"localize":[29],"accurately,":[31],"we":[32],"propose":[33],"a":[34],"novel":[35],"Refined":[36],"Fusion":[37,44],"Three-Branch":[38],"network(RFNet).":[39],"Firstly,":[40],"Comprehensive":[42],"Attentive":[43],"module":[45,67],"is":[46,68,101],"designed":[47,69],"encode":[49],"fusion":[51],"of":[52,89],"features":[53],"from":[54],"different":[55],"modalities":[56],"and":[57,75,95],"suppress":[58],"background":[60],"noise.":[61],"Secondly,":[62],"Intermediate":[64],"Refinement":[65],"Connection":[66],"remove":[71],"redundant":[72],"refine":[76],"features.":[78],"Finally,":[79],"experiments":[80],"on":[81],"public":[82],"benchmark":[83],"datasets":[84],"demonstrate":[85],"good":[87],"performance":[88],"our":[90],"method":[91],"for":[92],"both":[93],"quantitative":[94],"qualitative":[96],"evaluation.":[97],"The":[98],"source":[99],"code":[100],"publicly":[102],"available":[103],"as":[104],"https://github.com/Corgislam/RFNet-code":[105]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
