{"id":"https://openalex.org/W2776345321","doi":"https://doi.org/10.1109/dicta.2017.8227408","title":"Attention to the Scale: Deep Multi-Scale Salient Object Detection","display_name":"Attention to the Scale: Deep Multi-Scale Salient Object Detection","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2776345321","doi":"https://doi.org/10.1109/dicta.2017.8227408","mag":"2776345321"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2017.8227408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5100345321","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0001-6595-7661"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["AU","CN"],"is_corresponding":true,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Research School of Engineering, Australian National University, Canberra, Australia","School of Electronics and Information, Northwesten Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Research School of Engineering, Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]},{"raw_affiliation_string":"School of Electronics and Information, Northwesten Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036202579","display_name":"Yuchao Dai","orcid":"https://orcid.org/0000-0002-4432-7406"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Yuchao Dai","raw_affiliation_strings":["School of Electronics and Information, Northwesten Polytechnical University, Xi'an, China","Research School of Engineering, Australian National University, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwesten Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Research School of Engineering, Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114375869","display_name":"Bo Li","orcid":"https://orcid.org/0009-0003-4088-1578"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["School of Electronics and Information, Northwesten Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwesten Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086729425","display_name":"Mingyi He","orcid":"https://orcid.org/0000-0003-2051-6955"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyi He","raw_affiliation_strings":["School of Electronics and Information, Northwesten Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwesten Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100345321"],"corresponding_institution_ids":["https://openalex.org/I118347636","https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.2775,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66032381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11094","display_name":"Face Recognition and Perception","score":0.9510999917984009,"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/salient","display_name":"Salient","score":0.7921067476272583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7916904091835022},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7837194204330444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7747154235839844},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7466009855270386},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6480951309204102},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.638895571231842},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5839285254478455},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5809186697006226},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5420542359352112},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5194251537322998},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.496298611164093},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.479593425989151},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36345866322517395},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36039626598358154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08155858516693115}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7921067476272583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7916904091835022},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7837194204330444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7747154235839844},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7466009855270386},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6480951309204102},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.638895571231842},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5839285254478455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5809186697006226},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5420542359352112},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5194251537322998},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.496298611164093},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.479593425989151},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36345866322517395},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36039626598358154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08155858516693115},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta.2017.8227408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/313693","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/313693","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1514535095","https://openalex.org/W1686810756","https://openalex.org/W1772076007","https://openalex.org/W1894057436","https://openalex.org/W1903029394","https://openalex.org/W1942214758","https://openalex.org/W1947031653","https://openalex.org/W2002781701","https://openalex.org/W2036576620","https://openalex.org/W2039313011","https://openalex.org/W2047670868","https://openalex.org/W2086791339","https://openalex.org/W2087100776","https://openalex.org/W2147347517","https://openalex.org/W2155893237","https://openalex.org/W2157554677","https://openalex.org/W2161185676","https://openalex.org/W2165826763","https://openalex.org/W2194775991","https://openalex.org/W2270657321","https://openalex.org/W2286929393","https://openalex.org/W2293332611","https://openalex.org/W2338972621","https://openalex.org/W2412782625","https://openalex.org/W2461475918","https://openalex.org/W2518599539","https://openalex.org/W2519528544","https://openalex.org/W2546578092","https://openalex.org/W2560023338","https://openalex.org/W2585521554","https://openalex.org/W2605929543","https://openalex.org/W2950867030","https://openalex.org/W2962835968","https://openalex.org/W2962891704","https://openalex.org/W2963299740","https://openalex.org/W2963635628","https://openalex.org/W2963840672","https://openalex.org/W3098389804","https://openalex.org/W3103757879","https://openalex.org/W3104979525","https://openalex.org/W6630875275","https://openalex.org/W6637373629","https://openalex.org/W6639359414","https://openalex.org/W6662642246","https://openalex.org/W6696085341","https://openalex.org/W6726799623","https://openalex.org/W6729247546","https://openalex.org/W6730342312","https://openalex.org/W6731893770","https://openalex.org/W6784647857"],"related_works":["https://openalex.org/W2022849497","https://openalex.org/W2810679507","https://openalex.org/W3081299480","https://openalex.org/W2407190427","https://openalex.org/W2919210741","https://openalex.org/W2907584218","https://openalex.org/W3002446410","https://openalex.org/W4390224712","https://openalex.org/W4322096758","https://openalex.org/W2969228573"],"abstract_inverted_index":{"Salient":[0],"object":[1,33,66],"detection":[2,67],"has":[3],"been":[4],"greatly":[5],"boosted":[6],"thanks":[7],"to":[8,25,85,102],"the":[9,36,62,87,126],"deep":[10,29],"convolutional":[11,17],"neural":[12,18],"networks":[13,19],"(CNN),":[14],"especially":[15],"fully":[16],"(FCN).":[20],"Nowadays,":[21],"it":[22],"is":[23,83,100,112],"possible":[24],"train":[26],"an":[27,115],"end-to-end":[28,116],"model":[30,73,82,111],"for":[31,46],"salient":[32,40,65],"detection.":[34],"However,":[35],"diverse":[37],"scales":[38,57],"of":[39,58,64,89,129],"objects":[41],"still":[42],"pose":[43],"major":[44],"challenges":[45],"these":[47],"state-of-the-art":[48,136],"methods.":[49,137],"In":[50],"this":[51],"paper,":[52],"we":[53],"investigate":[54],"how":[55],"different":[56,93,107],"context":[59],"information":[60,105],"affect":[61],"performance":[63,128],"by":[68],"building":[69],"our":[70,130],"saliency":[71,90,97],"prediction":[72],"on":[74,121],"a":[75,96],"pyramid":[76],"spatial":[77],"pooling":[78],"network.":[79],"An":[80],"attention-to-scale":[81],"trained":[84,113],"measure":[86],"importance":[88],"features":[91],"at":[92],"scales,":[94],"and":[95],"fusion":[98],"stage":[99],"utilized":[101],"extract":[103],"complementary":[104],"from":[106],"scales.":[108],"The":[109],"proposed":[110,131],"in":[114],"manner.":[117],"Extensive":[118],"experimental":[119],"results":[120],"eight":[122],"benchmark":[123],"datasets":[124],"demonstrate":[125],"superior":[127],"method":[132],"compared":[133],"with":[134],"existing":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}