{"id":"https://openalex.org/W4409310660","doi":"https://doi.org/10.1109/tip.2025.3557562","title":"Uncertainty-Guided Refinement for Fine-Grained Salient Object Detection","display_name":"Uncertainty-Guided Refinement for Fine-Grained Salient Object Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409310660","doi":"https://doi.org/10.1109/tip.2025.3557562","pmid":"https://pubmed.ncbi.nlm.nih.gov/40202876"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3557562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3557562","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,"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"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2504.09666","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112208240","display_name":"Yao Yuan","orcid":"https://orcid.org/0009-0002-8745-2773"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Yuan","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","Collge of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China"],"raw_orcid":"https://orcid.org/0009-0002-8745-2773","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Collge of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019391901","display_name":"Pan Gao","orcid":"https://orcid.org/0000-0002-4492-5430"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Gao","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","Collge of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China"],"raw_orcid":"https://orcid.org/0000-0002-4492-5430","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Collge of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008891189","display_name":"Qun Dai","orcid":"https://orcid.org/0000-0003-4618-7299"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Dai","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","Collge of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China"],"raw_orcid":"https://orcid.org/0000-0003-4618-7299","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Collge of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061215231","display_name":"Jie Qin","orcid":"https://orcid.org/0000-0002-0306-534X"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Qin","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","Collge of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China"],"raw_orcid":"https://orcid.org/0000-0002-0306-534X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Collge of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100389005","display_name":"Wei Xiang","orcid":"https://orcid.org/0000-0002-0608-065X"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Xiang","raw_affiliation_strings":["School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia","School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0608-065X","affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]},{"raw_affiliation_string":"School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne VIC, Australia","institution_ids":["https://openalex.org/I196829312"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.7926,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.98724311,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"34","issue":null,"first_page":"2301","last_page":"2314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","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/T11165","display_name":"Image and Video Quality Assessment","score":0.921500027179718,"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.914900004863739,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5737294554710388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5362234711647034},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5279853940010071},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47663792967796326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47070571780204773},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.43333151936531067},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3688009977340698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5737294554710388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5362234711647034},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5279853940010071},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47663792967796326},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47070571780204773},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.43333151936531067},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3688009977340698}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2025.3557562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3557562","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,"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:40202876","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40202876","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,"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":null},{"id":"pmh:oai:arXiv.org:2504.09666","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.09666","pdf_url":"https://arxiv.org/pdf/2504.09666","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2504.09666","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.09666","pdf_url":"https://arxiv.org/pdf/2504.09666","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G3610431099","display_name":null,"funder_award_id":"62276129","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8456139742","display_name":null,"funder_award_id":"62272227","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"},{"id":"https://openalex.org/F4320322438","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W1772076007","https://openalex.org/W1894057436","https://openalex.org/W1901129140","https://openalex.org/W1994922096","https://openalex.org/W2002781701","https://openalex.org/W2018377917","https://openalex.org/W2039313011","https://openalex.org/W2086791339","https://openalex.org/W2100470808","https://openalex.org/W2115273023","https://openalex.org/W2132083787","https://openalex.org/W2171378720","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2461475918","https://openalex.org/W2517325737","https://openalex.org/W2560023338","https://openalex.org/W2740667773","https://openalex.org/W2742666565","https://openalex.org/W2744613561","https://openalex.org/W2752782242","https://openalex.org/W2780708736","https://openalex.org/W2798791651","https://openalex.org/W2798825526","https://openalex.org/W2799074129","https://openalex.org/W2807746031","https://openalex.org/W2884555738","https://openalex.org/W2889081631","https://openalex.org/W2895251968","https://openalex.org/W2928165649","https://openalex.org/W2939217524","https://openalex.org/W2948500402","https://openalex.org/W2948510860","https://openalex.org/W2961348656","https://openalex.org/W2963032190","https://openalex.org/W2963112696","https://openalex.org/W2963299740","https://openalex.org/W2963529609","https://openalex.org/W2963604034","https://openalex.org/W2963685207","https://openalex.org/W2963868681","https://openalex.org/W2963906836","https://openalex.org/W2981510929","https://openalex.org/W2986825110","https://openalex.org/W2987701848","https://openalex.org/W2990984982","https://openalex.org/W2998449272","https://openalex.org/W3003121299","https://openalex.org/W3034185160","https://openalex.org/W3035290198","https://openalex.org/W3035422681","https://openalex.org/W3035502324","https://openalex.org/W3093164896","https://openalex.org/W3107653507","https://openalex.org/W3109623941","https://openalex.org/W3122006940","https://openalex.org/W3138516171","https://openalex.org/W3161727022","https://openalex.org/W3165309286","https://openalex.org/W3170841864","https://openalex.org/W3173370190","https://openalex.org/W3173382343","https://openalex.org/W3177634011","https://openalex.org/W3204647170","https://openalex.org/W4214561053","https://openalex.org/W4239147634","https://openalex.org/W4290714341","https://openalex.org/W4295512633","https://openalex.org/W4306832378","https://openalex.org/W4311967393","https://openalex.org/W4312785900","https://openalex.org/W4312815172","https://openalex.org/W4313546627","https://openalex.org/W4323892348","https://openalex.org/W4386072314","https://openalex.org/W4387757595","https://openalex.org/W4389987369","https://openalex.org/W6631190155","https://openalex.org/W6739901393","https://openalex.org/W6797399245","https://openalex.org/W6804845715"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W2051487156","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2073681303","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W4394266730","https://openalex.org/W1990856605","https://openalex.org/W2053783616"],"abstract_inverted_index":{"Recently,":[0],"salient":[1,11,119],"object":[2],"detection":[3],"(SOD)":[4],"methods":[5,16,90],"have":[6],"achieved":[7],"impressive":[8],"performance.":[9],"However,":[10],"regions":[12,20],"predicted":[13],"by":[14],"existing":[15],"usually":[17],"contain":[18],"unsaturated":[19],"and":[21,81,101,133,184],"shadows,":[22],"which":[23,63],"limits":[24],"the":[25,36,46,69,75,82,95,99,107,115,118,125,136,141,146,152,177,181,186,197,200,204],"model":[26],"for":[27],"reliable":[28],"fine-grained":[29,162],"predictions.":[30],"To":[31],"address":[32],"this,":[33],"we":[34,53,139,167],"introduce":[35],"uncertainty":[37,142,189],"guidance":[38],"learning":[39],"approach":[40],"to":[41,44,92,150,175],"SOD,":[42],"intended":[43],"enhance":[45,151],"model's":[47,153],"perception":[48,102,154],"of":[49,103,156,180,188,199],"uncertain":[50,157],"regions.":[51],"Specifically,":[52],"design":[54],"a":[55,160],"novel":[56],"Uncertainty":[57,83],"Guided":[58],"Refinement":[59,84],"Attention":[60,72,78,85],"Network":[61],"(UGRAN),":[62],"incorporates":[64],"three":[65],"important":[66],"components,":[67],"i.e.,":[68],"Multilevel":[70],"Interaction":[71],"(MIA)":[73],"module,":[74,80],"Scale":[76],"Spatial-Consistent":[77],"(SSCA)":[79],"(URA)":[86],"module.":[87],"Unlike":[88],"conventional":[89],"dedicated":[91],"enhancing":[93],"features,":[94,105],"proposed":[96,116,201],"MIA":[97],"facilitates":[98],"interaction":[100],"multilevel":[104,111],"leveraging":[106],"complementary":[108],"characteristics":[109],"among":[110],"features.":[112],"Then,":[113],"through":[114],"SSCA,":[117],"information":[120],"across":[121],"diverse":[122],"scales":[123],"within":[124],"aggregated":[126],"features":[127],"can":[128],"be":[129,209],"integrated":[130],"more":[131],"comprehensively":[132],"integrally.":[134],"In":[135],"subsequent":[137],"steps,":[138],"utilize":[140],"map":[143,149],"generated":[144],"from":[145],"saliency":[147,163],"prediction":[148,164],"capability":[155],"regions,":[158],"generating":[159],"highly-saturated":[161],"map.":[165],"Additionally,":[166],"devise":[168],"an":[169],"adaptive":[170],"dynamic":[171],"partition":[172],"(ADP)":[173],"mechanism":[174],"minimize":[176],"computational":[178],"overhead":[179],"URA":[182],"module":[183],"improve":[185],"utilization":[187],"guidance.":[190],"Experiments":[191],"on":[192],"seven":[193],"benchmark":[194],"datasets":[195],"demonstrate":[196],"superiority":[198],"UGRAN":[202],"over":[203],"state-of-the-art":[205],"methodologies.":[206],"Codes":[207],"will":[208],"released":[210],"at":[211],"https://github.com/I2-Multimedia-Lab/UGRAN.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-17T08:01:34.144755","created_date":"2025-10-10T00:00:00"}