{"id":"https://openalex.org/W4295512633","doi":"https://doi.org/10.1109/tip.2022.3203605","title":"Curiosity-Driven Salient Object Detection With Fragment Attention","display_name":"Curiosity-Driven Salient Object Detection With Fragment Attention","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4295512633","doi":"https://doi.org/10.1109/tip.2022.3203605","pmid":"https://pubmed.ncbi.nlm.nih.gov/36099213"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3203605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3203605","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":["crossref","pubmed"],"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/A5100657763","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0001-8458-6704"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-8458-6704","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055822361","display_name":"Pengzhi Wang","orcid":"https://orcid.org/0000-0003-4391-7129"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengzhi Wang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031819155","display_name":"Yahong Han","orcid":"https://orcid.org/0000-0003-2768-1398"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yahong Han","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2768-1398","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445851","display_name":"Xue Zhang","orcid":"https://orcid.org/0000-0002-6579-7845"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Zhang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084555916","display_name":"Meijun Sun","orcid":"https://orcid.org/0000-0002-8691-8677"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meijun Sun","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393506","display_name":"Qi Tian","orcid":"https://orcid.org/0000-0002-7252-5047"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Tian","raw_affiliation_strings":["Huawei Cloud &#x0026; AI, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7252-5047","affiliations":[{"raw_affiliation_string":"Huawei Cloud &#x0026; AI, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1746,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79460672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"5989","last_page":"6001"},"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":0.9898999929428101,"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/T11094","display_name":"Face Recognition and Perception","score":0.9889000058174133,"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/curiosity","display_name":"Curiosity","score":0.8582521677017212},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7859860062599182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6192403435707092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5960795879364014},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5276545286178589},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4808293581008911},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.47834131121635437},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46622776985168457},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46386852860450745},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4461362659931183},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4247857332229614},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.41002362966537476},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36860302090644836},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15321418642997742},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.09678953886032104}],"concepts":[{"id":"https://openalex.org/C33435437","wikidata":"https://www.wikidata.org/wiki/Q366791","display_name":"Curiosity","level":2,"score":0.8582521677017212},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7859860062599182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6192403435707092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5960795879364014},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5276545286178589},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4808293581008911},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.47834131121635437},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46622776985168457},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46386852860450745},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4461362659931183},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4247857332229614},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.41002362966537476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36860302090644836},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15321418642997742},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.09678953886032104},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003071","descriptor_name":"Cognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003071","descriptor_name":"Cognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003071","descriptor_name":"Cognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005106","descriptor_name":"Exploratory Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005106","descriptor_name":"Exploratory Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005106","descriptor_name":"Exploratory Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3203605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3203605","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:36099213","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36099213","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}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1462692837","display_name":null,"funder_award_id":"61876125","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1829462488","display_name":"\u8de8\u5a92\u4f53\u667a\u80fd\u95ee\u7b54\u548c\u63a8\u7406\u5173\u952e\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61932009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4407339161","display_name":null,"funder_award_id":"61876130","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4887159894","display_name":null,"funder_award_id":"62076180","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W1522301498","https://openalex.org/W1894057436","https://openalex.org/W1903029394","https://openalex.org/W1941498359","https://openalex.org/W1982075130","https://openalex.org/W2002781701","https://openalex.org/W2004362043","https://openalex.org/W2031489346","https://openalex.org/W2039313011","https://openalex.org/W2047670868","https://openalex.org/W2086791339","https://openalex.org/W2100470808","https://openalex.org/W2128272608","https://openalex.org/W2156777442","https://openalex.org/W2171378720","https://openalex.org/W2194775991","https://openalex.org/W2211996548","https://openalex.org/W2519528544","https://openalex.org/W2569272946","https://openalex.org/W2589728353","https://openalex.org/W2740667773","https://openalex.org/W2770790879","https://openalex.org/W2780708736","https://openalex.org/W2793668851","https://openalex.org/W2798791651","https://openalex.org/W2798825526","https://openalex.org/W2799074129","https://openalex.org/W2799231793","https://openalex.org/W2804284560","https://openalex.org/W2808442315","https://openalex.org/W2884555738","https://openalex.org/W2895251968","https://openalex.org/W2939217524","https://openalex.org/W2948510860","https://openalex.org/W2954204101","https://openalex.org/W2961348656","https://openalex.org/W2963032190","https://openalex.org/W2963136160","https://openalex.org/W2963529609","https://openalex.org/W2963656855","https://openalex.org/W2963706010","https://openalex.org/W2963906836","https://openalex.org/W2964775615","https://openalex.org/W2981322549","https://openalex.org/W2981510929","https://openalex.org/W2989161706","https://openalex.org/W3011305844","https://openalex.org/W3019728440","https://openalex.org/W3022015146","https://openalex.org/W3031726557","https://openalex.org/W3033841690","https://openalex.org/W3097336090","https://openalex.org/W3120113457","https://openalex.org/W3122490299","https://openalex.org/W3127912918","https://openalex.org/W3165309286","https://openalex.org/W3199185814","https://openalex.org/W3212371075","https://openalex.org/W4214680709","https://openalex.org/W6631190155","https://openalex.org/W6733634660","https://openalex.org/W6785816937"],"related_works":["https://openalex.org/W4285676344","https://openalex.org/W3094054656","https://openalex.org/W2123270665","https://openalex.org/W2060310955","https://openalex.org/W4382584175","https://openalex.org/W2284924956","https://openalex.org/W3043413210","https://openalex.org/W2613740288","https://openalex.org/W4383268304","https://openalex.org/W2288837750"],"abstract_inverted_index":{"Recent":[0],"deep":[1],"learning":[2],"based":[3,82],"salient":[4,130,134,170],"object":[5],"detection":[6],"methods":[7],"with":[8],"attention":[9,17,85],"mechanisms":[10,18],"have":[11],"made":[12],"great":[13],"success.":[14],"However,":[15],"existing":[16],"can":[19,199],"be":[20],"generally":[21],"separated":[22],"into":[23,110],"two":[24],"categories.":[25],"One":[26],"part":[27,39,45],"chooses":[28],"to":[29,57,125,155,163],"calculate":[30],"weights":[31],"indiscriminately,":[32],"which":[33],"yields":[34],"computational":[35],"redundancy.":[36],"While":[37],"one":[38],"focuses":[40],"randomly":[41],"on":[42,83,189,213],"a":[43,62,72,77,115,174,179],"small":[44],"of":[46,61,64,97,108,152,168],"the":[47,95,106,145,149,190,201,223],"images,":[48],"such":[49],"as":[50],"hard":[51],"attention,":[52],"resulting":[53],"in":[54,90],"incorrectness":[55],"owing":[56],"insufficiently":[58],"targeted":[59],"selection":[60],"subset":[63],"tokens.":[65],"To":[66],"alleviate":[67],"these":[68],"problems,":[69],"we":[70],"design":[71],"Curiosity-driven":[73,78],"Network":[74],"(CNet)":[75],"and":[76,104,118,131,135,172,209],"Learning":[79],"Algorithm":[80],"(CLA)":[81],"fragment":[84],"(FA)":[86],"mechanism":[87],"newly":[88],"defined":[89],"this":[91],"paper.":[92],"FA":[93,198],"imitates":[94],"process":[96],"cognition":[98],"perception":[99],"driven":[100],"by":[101,144,196],"human":[102],"curiosity,":[103],"divides":[105],"degree":[107,151,203],"curiosity":[109,150,202],"three":[111,122],"levels,":[112],"i.e.":[113],"curious,":[114],"little":[116],"curious":[117],"not":[119],"curious.":[120],"These":[121],"levels":[123],"correspond":[124],"five":[126,214],"saliency":[127,159],"degrees,":[128],"including":[129],"non-salient,":[132,137],"likewise":[133,136],"completely":[138],"uncertain.":[139],"With":[140],"more":[141,165,207],"knowledge":[142],"gained":[143],"network,":[146],"CLA":[147],"transforms":[148],"each":[153,205],"pixel":[154,206],"yield":[156],"enhanced":[157],"detail-enriched":[158],"maps.":[160],"In":[161],"order":[162],"extract":[164],"context-aware":[166],"information":[167],"potential":[169],"objects":[171],"make":[173],"better":[175,192],"foundation":[176],"for":[177,204],"CLA,":[178],"high-level":[180,193],"feature":[181],"extraction":[182],"module":[183],"(HFEM)":[184],"is":[185],"further":[186],"proposed.":[187],"Based":[188],"much":[191],"features":[194],"extracted":[195],"HFEM,":[197],"classify":[200],"reasonably":[208],"accurately.":[210],"Extensive":[211],"experiments":[212],"popular":[215],"datasets":[216],"clearly":[217],"demonstrate":[218],"that":[219],"our":[220],"method":[221],"outperforms":[222],"state-of-the-art":[224],"approaches":[225],"without":[226],"any":[227],"pre-processing":[228],"operations":[229],"or":[230],"post-processing":[231],"operations.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
