{"id":"https://openalex.org/W4386860206","doi":"https://doi.org/10.1007/s10489-023-04861-5","title":"GFNet: gated fusion network for video saliency prediction","display_name":"GFNet: gated fusion network for video saliency prediction","publication_year":2023,"publication_date":"2023-09-19","ids":{"openalex":"https://openalex.org/W4386860206","doi":"https://doi.org/10.1007/s10489-023-04861-5"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-023-04861-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-023-04861-5","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-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/A5052752709","display_name":"Songhe Wu","orcid":"https://orcid.org/0009-0004-3968-3627"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songhe Wu","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075052648","display_name":"Xiaofei Zhou","orcid":"https://orcid.org/0000-0002-7977-9728"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaofei Zhou","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China"],"raw_orcid":"https://orcid.org/0000-0002-7977-9728","affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048712886","display_name":"Yaoqi Sun","orcid":"https://orcid.org/0000-0001-8874-241X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoqi Sun","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, and Lishui Institute of Hangzhou Dianzi University, Hangzhou, 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, and Lishui Institute of Hangzhou Dianzi University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102763899","display_name":"Yuhan Gao","orcid":"https://orcid.org/0000-0003-2314-7323"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Gao","raw_affiliation_strings":["Lishui Institute of Hangzhou Dianzi University, and School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lishui Institute of Hangzhou Dianzi University, and School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078069878","display_name":"Zunjie Zhu","orcid":"https://orcid.org/0000-0001-6107-4538"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zunjie Zhu","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, and Lishui Institute of Hangzhou Dianzi University, Hangzhou, 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, and Lishui Institute of Hangzhou Dianzi University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064810678","display_name":"Jiyong Zhang","orcid":"https://orcid.org/0000-0001-9600-8477"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiyong Zhang","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054311881","display_name":"Chenggang Yan","orcid":"https://orcid.org/0000-0003-1204-0512"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenggang Yan","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5064810678","https://openalex.org/A5075052648"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":1.0739,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.7615939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"53","issue":"22","first_page":"27865","last_page":"27875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9977999925613403,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9754999876022339,"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":0.9115859270095825},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.8394957780838013},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6838322281837463},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6836154460906982},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6153987050056458},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5437943935394287},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5309654474258423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.512437641620636},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5064071416854858},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46594417095184326},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.45548951625823975},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4496663808822632},{"id":"https://openalex.org/keywords/soft-decision-decoder","display_name":"Soft-decision decoder","score":0.41737353801727295},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3979882299900055},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3597361743450165},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.243929922580719}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9115859270095825},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.8394957780838013},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6838322281837463},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6836154460906982},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6153987050056458},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5437943935394287},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5309654474258423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.512437641620636},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5064071416854858},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46594417095184326},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.45548951625823975},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4496663808822632},{"id":"https://openalex.org/C185588885","wikidata":"https://www.wikidata.org/wiki/Q7553811","display_name":"Soft-decision decoder","level":3,"score":0.41737353801727295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3979882299900055},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3597361743450165},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.243929922580719},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-023-04861-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-023-04861-5","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W2032007016","https://openalex.org/W2067259649","https://openalex.org/W2071555787","https://openalex.org/W2081239020","https://openalex.org/W2119577735","https://openalex.org/W2412782625","https://openalex.org/W2558906385","https://openalex.org/W2800632947","https://openalex.org/W2883429621","https://openalex.org/W2898882361","https://openalex.org/W2902418641","https://openalex.org/W2921653116","https://openalex.org/W2943125866","https://openalex.org/W2955060956","https://openalex.org/W2963503775","https://openalex.org/W2963524571","https://openalex.org/W2963581854","https://openalex.org/W2969741484","https://openalex.org/W2986056979","https://openalex.org/W2986131415","https://openalex.org/W3011978462","https://openalex.org/W3081633908","https://openalex.org/W3082657571","https://openalex.org/W3097337310","https://openalex.org/W3099561715","https://openalex.org/W3101840568","https://openalex.org/W3109908659","https://openalex.org/W3115482207","https://openalex.org/W3118871676","https://openalex.org/W3132652652","https://openalex.org/W3134421051","https://openalex.org/W3138095408","https://openalex.org/W3152494977","https://openalex.org/W3164729106","https://openalex.org/W3168833178","https://openalex.org/W3175841511","https://openalex.org/W3179507566","https://openalex.org/W3189307944","https://openalex.org/W3194945615","https://openalex.org/W3196248320","https://openalex.org/W3202477427","https://openalex.org/W3202691929","https://openalex.org/W3204643350","https://openalex.org/W4200276416","https://openalex.org/W4206840514","https://openalex.org/W4220696635","https://openalex.org/W4225123213","https://openalex.org/W4225611698","https://openalex.org/W4280550577","https://openalex.org/W4281702180","https://openalex.org/W4283021596","https://openalex.org/W4284895071","https://openalex.org/W4285176798","https://openalex.org/W4292382475","https://openalex.org/W4296551003"],"related_works":["https://openalex.org/W2078980669","https://openalex.org/W2132373020","https://openalex.org/W2096049278","https://openalex.org/W2221419418","https://openalex.org/W2356119241","https://openalex.org/W2182248074","https://openalex.org/W2019141945","https://openalex.org/W2365203640","https://openalex.org/W406587413","https://openalex.org/W2156108776"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
