{"id":"https://openalex.org/W4308237332","doi":"https://doi.org/10.1109/icip46576.2022.9897450","title":"Emcenet: Efficient Multi-Scale Context Exploration Network for Salient Object Detection","display_name":"Emcenet: Efficient Multi-Scale Context Exploration Network for Salient Object Detection","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308237332","doi":"https://doi.org/10.1109/icip46576.2022.9897450"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897450","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5085833222","display_name":"Yanguang Sun","orcid":"https://orcid.org/0000-0002-9761-6033"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanguang Sun","raw_affiliation_strings":["Anhui University of Science and Technology,College of Computer Science and Engineering,China","College of Computer Science and Engineering, Anhui University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Anhui University of Science and Technology,College of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I184681353"]},{"raw_affiliation_string":"College of Computer Science and Engineering, Anhui University of Science and Technology, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087739571","display_name":"Chenxing Xia","orcid":"https://orcid.org/0000-0003-0750-1265"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxing Xia","raw_affiliation_strings":["Anhui University of Science and Technology,College of Computer Science and Engineering,China","Hefei Comprehensive National Science Center, Institute of Energy, China","College of Computer Science and Engineering, Anhui University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Anhui University of Science and Technology,College of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I184681353"]},{"raw_affiliation_string":"Hefei Comprehensive National Science Center, Institute of Energy, China","institution_ids":[]},{"raw_affiliation_string":"College of Computer Science and Engineering, Anhui University of Science and Technology, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068221881","display_name":"Xiuju Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuju Gao","raw_affiliation_strings":["Anhui University of Science and Technology,College of Computer Science and Engineering,China","College of Computer Science and Engineering, Anhui University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Anhui University of Science and Technology,College of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I184681353"]},{"raw_affiliation_string":"College of Computer Science and Engineering, Anhui University of Science and Technology, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033351506","display_name":"Bin Ge","orcid":"https://orcid.org/0000-0001-9050-1105"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Ge","raw_affiliation_strings":["Anhui University of Science and Technology,College of Computer Science and Engineering,China","College of Computer Science and Engineering, Anhui University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Anhui University of Science and Technology,College of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I184681353"]},{"raw_affiliation_string":"College of Computer Science and Engineering, Anhui University of Science and Technology, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039718270","display_name":"Hanling Zhang","orcid":"https://orcid.org/0000-0002-8242-9139"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanling Zhang","raw_affiliation_strings":["Hunan University,School of Design,China","School of Design, Hunan University, China"],"affiliations":[{"raw_affiliation_string":"Hunan University,School of Design,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"School of Design, Hunan University, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063188437","display_name":"Kuan\u2010Ching Li","orcid":"https://orcid.org/0000-0003-1381-4364"},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Ching Li","raw_affiliation_strings":["Providence University,Department of Computer Science and Information Engineering,Taiwan","Department of Computer Science and Information Engineering, Providence University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Providence University,Department of Computer Science and Information Engineering,Taiwan","institution_ids":["https://openalex.org/I177918364"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Providence University, Taiwan","institution_ids":["https://openalex.org/I177918364"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5085833222"],"corresponding_institution_ids":["https://openalex.org/I184681353"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10801369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1066","last_page":"1070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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":1.0,"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":0.9919999837875366,"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":0.9894999861717224,"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":0.7940155267715454},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6944993734359741},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6612643599510193},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6368755102157593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6307395696640015},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6246803998947144},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.605492889881134},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5760911703109741},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5271993279457092},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5204823017120361},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5155684947967529},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4868837893009186},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.46380332112312317},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43717318773269653},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4151459038257599},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3616432249546051},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3309784531593323},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18386277556419373},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07612359523773193}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7940155267715454},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6944993734359741},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6612643599510193},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6368755102157593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6307395696640015},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6246803998947144},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.605492889881134},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5760911703109741},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5271993279457092},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5204823017120361},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5155684947967529},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4868837893009186},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.46380332112312317},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43717318773269653},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4151459038257599},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3616432249546051},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3309784531593323},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18386277556419373},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07612359523773193},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897450","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1978479866","https://openalex.org/W2026014384","https://openalex.org/W2037954058","https://openalex.org/W2100470808","https://openalex.org/W2122076510","https://openalex.org/W2132083787","https://openalex.org/W2194775991","https://openalex.org/W2585521554","https://openalex.org/W2780861787","https://openalex.org/W2799074129","https://openalex.org/W2939217524","https://openalex.org/W2961348656","https://openalex.org/W2963032190","https://openalex.org/W2963112696","https://openalex.org/W2963299740","https://openalex.org/W3009702330","https://openalex.org/W3018276607","https://openalex.org/W3029368604","https://openalex.org/W3030079400","https://openalex.org/W3035290198","https://openalex.org/W3035422681","https://openalex.org/W3107944836","https://openalex.org/W3193915232","https://openalex.org/W6765841262"],"related_works":["https://openalex.org/W2900482274","https://openalex.org/W2140435402","https://openalex.org/W4285276086","https://openalex.org/W2161633202","https://openalex.org/W2039787362","https://openalex.org/W2901621883","https://openalex.org/W1750537857","https://openalex.org/W2163490908","https://openalex.org/W3022564861","https://openalex.org/W2394987862"],"abstract_inverted_index":{"Multi-scale":[0],"context":[1,43,67,79],"is":[2,71,93],"crucial":[3],"for":[4,61],"the":[5,12,38,45,119],"accurate":[6],"salient":[7],"object":[8],"detection":[9],"(SOD)":[10],"in":[11,105],"real-world":[13],"scenes.":[14],"Although":[15],"current":[16],"contextual":[17],"information-based":[18],"SOD":[19,131],"methods":[20],"have":[21],"achieved":[22],"great":[23],"progress,":[24],"they":[25],"may":[26],"fail":[27],"to":[28,34,73,95],"generate":[29,96],"precise":[30],"saliency":[31],"maps":[32],"due":[33],"their":[35],"seldom":[36],"considering":[37],"correlation":[39],"of":[40],"different":[41],"scale":[42],"during":[44],"extraction":[46,68],"process.":[47],"To":[48],"address":[49],"these":[50],"issues,":[51],"we":[52],"propose":[53],"an":[54],"Efficient":[55],"Multi-Scale":[56],"Context":[57],"Exploration":[58],"Network":[59],"(EMCENet)":[60],"SOD.":[62],"Specifically,":[63],"a":[64,86,106],"progressive":[65],"multi-scale":[66,78],"(PMCE)":[69],"module":[70,92],"designed":[72],"progressively":[74],"capture":[75],"strongly":[76],"correlated":[77],"by":[80,100],"using":[81],"multi-receptive-field":[82],"convolution":[83],"operations.":[84],"Afterwards,":[85],"hierarchical":[87],"feature":[88,98],"hybrid":[89,107],"interaction":[90,108],"(HFHI)":[91],"introduced":[94],"powerful":[97],"representations":[99],"adaptively":[101],"aggregating":[102],"multi-level":[103],"features":[104],"strategy.":[109],"Extensive":[110],"experimental":[111],"results":[112],"on":[113],"six":[114],"public":[115],"datasets":[116],"demonstrate":[117],"that":[118],"proposed":[120],"EMCENet":[121],"method":[122],"without":[123],"any":[124],"post-processing":[125],"performs":[126],"favorably":[127],"against":[128],"13":[129],"state-of-the-art":[130],"methods.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
