{"id":"https://openalex.org/W4399601478","doi":"https://doi.org/10.1109/access.2024.3414285","title":"Visual Saliency Detection Based on Global Guidance Map and Background Attention","display_name":"Visual Saliency Detection Based on Global Guidance Map and Background Attention","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399601478","doi":"https://doi.org/10.1109/access.2024.3414285"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3414285","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3414285","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3414285","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006928494","display_name":"Yanbin Peng","orcid":"https://orcid.org/0000-0003-4584-5632"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbin Peng","raw_affiliation_strings":["School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4584-5632","affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073002639","display_name":"Mingkun Feng","orcid":"https://orcid.org/0000-0001-6716-8949"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingkun Feng","raw_affiliation_strings":["School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6716-8949","affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026201988","display_name":"Zhinian Zhai","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhinian Zhai","raw_affiliation_strings":["School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-1062-1241","affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4087,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57732323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"95434","last_page":"95446"},"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/T12496","display_name":"Color perception and design","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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":0.685271680355072},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5516133308410645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5443316698074341},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.541058361530304},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4558171331882477},{"id":"https://openalex.org/keywords/visual-attention","display_name":"Visual attention","score":0.42343616485595703},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.31029728055000305},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.11393818259239197},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11169171333312988}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685271680355072},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5516133308410645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5443316698074341},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.541058361530304},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4558171331882477},{"id":"https://openalex.org/C2986089797","wikidata":"https://www.wikidata.org/wiki/Q6501338","display_name":"Visual attention","level":3,"score":0.42343616485595703},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31029728055000305},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.11393818259239197},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11169171333312988},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3414285","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3414285","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0a522296151847a5ab65e4c937ee23a8","is_oa":true,"landing_page_url":"https://doaj.org/article/0a522296151847a5ab65e4c937ee23a8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 95434-95446 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3414285","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3414285","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.800000011920929,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G1017003645","display_name":null,"funder_award_id":"61972357","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8230192537","display_name":null,"funder_award_id":"LGF22F020017","funder_id":"https://openalex.org/F4320338468","funder_display_name":"Basic Public Welfare Research Program of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338468","display_name":"Basic Public Welfare Research Program of Zhejiang Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W20683899","https://openalex.org/W1772076007","https://openalex.org/W1938386764","https://openalex.org/W1966025376","https://openalex.org/W1976409045","https://openalex.org/W1993713494","https://openalex.org/W2039298799","https://openalex.org/W2160613239","https://openalex.org/W2293332611","https://openalex.org/W2371838123","https://openalex.org/W2585592883","https://openalex.org/W2620958690","https://openalex.org/W2740652190","https://openalex.org/W2766315367","https://openalex.org/W2788154928","https://openalex.org/W2798825526","https://openalex.org/W2801872748","https://openalex.org/W2884555738","https://openalex.org/W2928165649","https://openalex.org/W2938260698","https://openalex.org/W2946891914","https://openalex.org/W2957414648","https://openalex.org/W2962914239","https://openalex.org/W2963032190","https://openalex.org/W2963299740","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W2964213565","https://openalex.org/W2982220924","https://openalex.org/W3035422681","https://openalex.org/W3035633116","https://openalex.org/W3097053213","https://openalex.org/W3098389804","https://openalex.org/W3118710621","https://openalex.org/W3152765238","https://openalex.org/W3170173308","https://openalex.org/W3177040887","https://openalex.org/W3211246039","https://openalex.org/W4214831601","https://openalex.org/W4285163934","https://openalex.org/W4293731746","https://openalex.org/W4307771365","https://openalex.org/W4309721374","https://openalex.org/W4311460972","https://openalex.org/W4362496243","https://openalex.org/W4366984207","https://openalex.org/W4380261188","https://openalex.org/W4383890466","https://openalex.org/W4387844371","https://openalex.org/W4389461476","https://openalex.org/W4391152075","https://openalex.org/W4391829880","https://openalex.org/W4392188075","https://openalex.org/W4392694296","https://openalex.org/W4393979362"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2081517010","https://openalex.org/W2121496884","https://openalex.org/W2387910809","https://openalex.org/W2294221496"],"abstract_inverted_index":{"In":[0],"the":[1,91,112,117,133,167,174,177,180,203,231],"field":[2],"of":[3,43,48,87,119,157,169,176,187,205,221,234],"Visual":[4],"Saliency":[5],"Detection,":[6],"accurately":[7],"segmenting":[8],"salient":[9,44,58,88,158,170,188,197,222,235],"objects":[10,45,59],"from":[11,100,151],"images":[12],"is":[13,139],"crucial":[14],"for":[15,84,154],"various":[16],"applications":[17],"such":[18],"as":[19],"image":[20],"editing":[21],"and":[22,51,53,60,79,102,116,183,226],"visual":[23],"tracking.":[24],"However,":[25],"this":[26,67],"task":[27],"becomes":[28],"particularly":[29],"challenging":[30],"due":[31],"to":[32,110,141,210],"several":[33],"issues":[34],"encountered":[35],"across":[36],"different":[37,129],"scenes,":[38],"including:":[39],"1)":[40],"high":[41],"diversity":[42],"in":[46,179,219],"terms":[47,220],"size,":[49],"color,":[50],"texture;":[52],"2)":[54],"unclear":[55],"boundaries":[56,168],"between":[57,114],"their":[61],"backgrounds.":[62],"To":[63],"address":[64],"these":[65],"challenges,":[66],"paper":[68],"introduces":[69],"a":[70,143,161],"deep":[71],"convolutional":[72],"network":[73],"based":[74],"on":[75,193],"global":[76,144],"guidance":[77,145],"map":[78],"background":[80,162],"attention,":[81],"named":[82],"GMBA-Net,":[83],"precise":[85,185],"segmentation":[86],"objects.":[89],"Initially,":[90],"Cross-Modal":[92],"Multi-Scale":[93],"Attention":[94],"Module":[95,137],"(CMAM)":[96],"finely":[97],"integrates":[98],"information":[99,125,150],"RGB":[101],"depth":[103],"images.":[104],"This":[105],"module":[106],"employs":[107],"attention":[108,163],"mechanisms":[109],"enhance":[111],"complementarity":[113],"modalities":[115],"expressiveness":[118],"multi-scale":[120],"features,":[121],"thereby":[122],"capturing":[123],"saliency":[124,181],"more":[126],"effectively":[127],"at":[128],"scales.":[130],"Following":[131],"this,":[132],"Interactive":[134],"Global":[135],"Context":[136],"(IGCM)":[138],"utilized":[140],"generate":[142],"map,":[146],"which":[147],"leverages":[148],"semantic":[149],"high-level":[152],"features":[153],"accurate":[155],"localization":[156],"regions.":[159],"Finally,":[160],"mechanism":[164],"(BGAM)":[165],"refines":[166],"objects,":[171],"significantly":[172],"improving":[173],"clarity":[175],"edges":[178],"maps":[182],"achieving":[184],"delineation":[186],"object":[189,198,223,236],"boundaries.":[190],"Experiments":[191],"conducted":[192],"multiple":[194],"public":[195],"RGB-D":[196],"detection":[199,224],"datasets":[200],"have":[201],"validated":[202],"effectiveness":[204],"our":[206,214],"proposed":[207],"method.":[208],"Compared":[209],"existing":[211],"state-of-the-art":[212],"methods,":[213],"model":[215],"demonstrates":[216],"significant":[217],"improvements":[218],"accuracy":[225],"boundary":[227],"clarity,":[228],"substantially":[229],"enhancing":[230],"overall":[232],"performance":[233],"detection.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}