{"id":"https://openalex.org/W3130912355","doi":"https://doi.org/10.1109/tcds.2021.3094974","title":"A Gated Fusion Network for Dynamic Saliency Prediction","display_name":"A Gated Fusion Network for Dynamic Saliency Prediction","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3130912355","doi":"https://doi.org/10.1109/tcds.2021.3094974","mag":"3130912355"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2021.3094974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2021.3094974","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental Systems","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2102.07682","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023036798","display_name":"Aysun Kocak","orcid":"https://orcid.org/0000-0002-7085-3127"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Aysun Kocak","raw_affiliation_strings":["Department of Computer Engineering, Hacettepe University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Hacettepe University, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074809120","display_name":"Erkut Erdem","orcid":"https://orcid.org/0000-0002-6744-8614"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Erkut Erdem","raw_affiliation_strings":["Department of Computer Engineering, Hacettepe University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Hacettepe University, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000080119","display_name":"Aykut Erdem","orcid":"https://orcid.org/0000-0002-6280-8422"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aykut Erdem","raw_affiliation_strings":["Department of Computer Engineering, Ko&#x00E7; University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ko&#x00E7; University, Istanbul, Turkey","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023036798"],"corresponding_institution_ids":["https://openalex.org/I66514158"],"apc_list":null,"apc_paid":null,"fwci":0.0968,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34773653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":"3","first_page":"995","last_page":"1008"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9902999997138977,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9731000065803528,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8537517786026001},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7984414100646973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6716178059577942},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.622545599937439},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.5427669286727905},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5373584032058716},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4470689296722412},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.419344425201416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3309858441352844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8537517786026001},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7984414100646973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6716178059577942},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.622545599937439},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.5427669286727905},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5373584032058716},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4470689296722412},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.419344425201416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3309858441352844},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tcds.2021.3094974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2021.3094974","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2102.07682","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.07682","pdf_url":"https://arxiv.org/pdf/2102.07682","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3130912355","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2102.07682","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2102.07682","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2102.07682","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2102.07682","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.07682","pdf_url":"https://arxiv.org/pdf/2102.07682","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3130912355.pdf","grobid_xml":"https://content.openalex.org/works/W3130912355.grobid-xml"},"referenced_works_count":104,"referenced_works":["https://openalex.org/W33363299","https://openalex.org/W1497599070","https://openalex.org/W1522734439","https://openalex.org/W1894057436","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1934890906","https://openalex.org/W1945036000","https://openalex.org/W1947031653","https://openalex.org/W1957954273","https://openalex.org/W1959094031","https://openalex.org/W1963937156","https://openalex.org/W1980120082","https://openalex.org/W1980297267","https://openalex.org/W1987129656","https://openalex.org/W2011785314","https://openalex.org/W2016053056","https://openalex.org/W2026012689","https://openalex.org/W2033859430","https://openalex.org/W2034436892","https://openalex.org/W2034482269","https://openalex.org/W2036691646","https://openalex.org/W2043331342","https://openalex.org/W2055611119","https://openalex.org/W2071555787","https://openalex.org/W2078903912","https://openalex.org/W2079525258","https://openalex.org/W2082627290","https://openalex.org/W2101194540","https://openalex.org/W2105454024","https://openalex.org/W2110019070","https://openalex.org/W2118985252","https://openalex.org/W2119577735","https://openalex.org/W2123698797","https://openalex.org/W2128272608","https://openalex.org/W2131311058","https://openalex.org/W2135957164","https://openalex.org/W2149095485","https://openalex.org/W2163292664","https://openalex.org/W2164084182","https://openalex.org/W2170869852","https://openalex.org/W2181396264","https://openalex.org/W2183871738","https://openalex.org/W2194775991","https://openalex.org/W2212216676","https://openalex.org/W2288514685","https://openalex.org/W2295598507","https://openalex.org/W2308045930","https://openalex.org/W2313180542","https://openalex.org/W2322480645","https://openalex.org/W2323509952","https://openalex.org/W2378845821","https://openalex.org/W2442293398","https://openalex.org/W2461475918","https://openalex.org/W2472782738","https://openalex.org/W2501148868","https://openalex.org/W2520859141","https://openalex.org/W2550553598","https://openalex.org/W2557536990","https://openalex.org/W2558906385","https://openalex.org/W2565639579","https://openalex.org/W2569272946","https://openalex.org/W2609822318","https://openalex.org/W2612135493","https://openalex.org/W2744613561","https://openalex.org/W2780708736","https://openalex.org/W2796417383","https://openalex.org/W2800632947","https://openalex.org/W2894406276","https://openalex.org/W2895340898","https://openalex.org/W2950079913","https://openalex.org/W2950178297","https://openalex.org/W2951527505","https://openalex.org/W2952186347","https://openalex.org/W2954215542","https://openalex.org/W2955060956","https://openalex.org/W2962754725","https://openalex.org/W2963032190","https://openalex.org/W2963050774","https://openalex.org/W2963503775","https://openalex.org/W2963513865","https://openalex.org/W2963581854","https://openalex.org/W2963706010","https://openalex.org/W2963782415","https://openalex.org/W2963840672","https://openalex.org/W2964105113","https://openalex.org/W2964114039","https://openalex.org/W2968759771","https://openalex.org/W2969741484","https://openalex.org/W2986131415","https://openalex.org/W3095449569","https://openalex.org/W3099561715","https://openalex.org/W3122238731","https://openalex.org/W3135252983","https://openalex.org/W6630875275","https://openalex.org/W6640615796","https://openalex.org/W6679761776","https://openalex.org/W6682137061","https://openalex.org/W6682864246","https://openalex.org/W6696085341","https://openalex.org/W6698589804","https://openalex.org/W6753561479","https://openalex.org/W6754867926","https://openalex.org/W6764953915"],"related_works":["https://openalex.org/W3179507566","https://openalex.org/W2785198463","https://openalex.org/W2988677396","https://openalex.org/W3164729106","https://openalex.org/W3111795916","https://openalex.org/W2969741484","https://openalex.org/W3194945615","https://openalex.org/W2900050378","https://openalex.org/W2210809762","https://openalex.org/W2941694122","https://openalex.org/W3197999001","https://openalex.org/W3017804286","https://openalex.org/W3173210343","https://openalex.org/W2981808500","https://openalex.org/W2798825526","https://openalex.org/W3093658089","https://openalex.org/W3107561632","https://openalex.org/W2626250971","https://openalex.org/W3035154689","https://openalex.org/W3185943380"],"abstract_inverted_index":{"Predicting":[0],"saliency":[1,92,97],"in":[2,64,77,103],"videos":[3,25],"is":[4,26,49,152],"a":[5,44,65,104,122,138,167],"challenging":[6],"problem":[7],"due":[8],"to":[9,46,58,74],"complex":[10],"modeling":[11],"of":[12,24,40,100,140,158],"interactions":[13],"between":[14],"spatial":[15,60,117],"and":[16,35,61,68,118,143,171],"temporal":[17,62,174],"information,":[18],"especially":[19],"when":[20],"ever-changing,":[21],"dynamic":[22,91,105],"nature":[23],"considered.":[27],"Recently,":[28],"researchers":[29],"have":[30],"proposed":[31,135],"large-scale":[32],"data":[33,141],"sets":[34],"models":[36],"that":[37,125,148,164],"take":[38],"advantage":[39],"deep":[41,96],"learning":[42],"as":[43],"way":[45,106],"understand":[47],"what":[48],"important":[50],"for":[51,90,128],"video":[52,79],"saliency.":[53],"These":[54],"approaches,":[55],"however,":[56],"learn":[57],"combine":[59],"features":[63],"static":[66],"manner":[67],"do":[69],"not":[70],"adapt":[71],"themselves":[72],"much":[73],"the":[75,78,86,94,108,134,156,159],"changes":[76],"content.":[80],"In":[81],"this":[82],"article,":[83],"we":[84,162],"introduce":[85],"gated":[87,109],"fusion":[88,110,181],"network":[89],"(GFSalNet),":[93],"first":[95],"model":[98,114],"capable":[99],"making":[101],"predictions":[102],"via":[107,178],"mechanism.":[111],"Moreover,":[112],"our":[113,144],"also":[115],"exploits":[116,173],"channelwise":[119],"attention":[120],"within":[121],"multiscale":[123],"architecture":[124],"further":[126],"allows":[127],"highly":[129,153],"accurate":[130],"predictions.":[131],"We":[132],"evaluate":[133],"approach":[136],"on":[137],"number":[139],"sets,":[142],"experimental":[145],"analysis":[146],"demonstrates":[147],"it":[149,165],"outperforms":[150],"or":[151],"competitive":[154],"with":[155],"state":[157],"art.":[160],"Importantly,":[161],"show":[163],"has":[166],"good":[168],"generalization":[169],"ability,":[170],"moreover,":[172],"information":[175],"more":[176],"effectively":[177],"its":[179],"adaptive":[180],"scheme.":[182]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
