{"id":"https://openalex.org/W3118871676","doi":"https://doi.org/10.1007/s10489-020-01857-3","title":"Saliency prediction on omnidirectional images with attention-aware feature fusion network","display_name":"Saliency prediction on omnidirectional images with attention-aware feature fusion network","publication_year":2021,"publication_date":"2021-01-08","ids":{"openalex":"https://openalex.org/W3118871676","doi":"https://doi.org/10.1007/s10489-020-01857-3","mag":"3118871676"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-020-01857-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-01857-3","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/A5107962032","display_name":"Dandan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dandan Zhu","raw_affiliation_strings":["Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101823236","display_name":"Yongqing Chen","orcid":"https://orcid.org/0000-0002-8502-1809"},"institutions":[{"id":"https://openalex.org/I4210128673","display_name":"Hainan Meteorology Administration","ror":"https://ror.org/0369eb468","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092","https://openalex.org/I4210128673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqing Chen","raw_affiliation_strings":["Hainan Air Traffic Management Sub-Bureau, HaiKou, 570000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hainan Air Traffic Management Sub-Bureau, HaiKou, 570000, China","institution_ids":["https://openalex.org/I4210128673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112669161","display_name":"Defang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Defang Zhao","raw_affiliation_strings":["School of Software Engineering, Tongji University, Shanghai, 201804, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, 201804, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085080585","display_name":"Qiangqiang Zhou","orcid":"https://orcid.org/0000-0002-5717-3290"},"institutions":[{"id":"https://openalex.org/I153806059","display_name":"Shanghai Business School","ror":"https://ror.org/05kf5z787","country_code":"CN","type":"education","lineage":["https://openalex.org/I153806059"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiangqiang Zhou","raw_affiliation_strings":["School of Information and Computer, Shanghai Business School, Shanghai, 201400, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Computer, Shanghai Business School, Shanghai, 201400, China","institution_ids":["https://openalex.org/I153806059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101532519","display_name":"Xiaokang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Yang","raw_affiliation_strings":["Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, 200240, China"],"raw_orcid":"https://orcid.org/0000-0002-0564-5575","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107962032"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.4519,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57915306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"51","issue":"8","first_page":"5344","last_page":"5357"},"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":0.9948999881744385,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8491452932357788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7744446396827698},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6942111253738403},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.6217732429504395},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6145864725112915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5413520336151123},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.524994969367981},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47220832109451294},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45928099751472473},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.43968719244003296},{"id":"https://openalex.org/keywords/saliency-map","display_name":"Saliency map","score":0.43251603841781616},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37717029452323914},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30111733078956604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8491452932357788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7744446396827698},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6942111253738403},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.6217732429504395},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6145864725112915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5413520336151123},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.524994969367981},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47220832109451294},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45928099751472473},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.43968719244003296},{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.43251603841781616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37717029452323914},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30111733078956604},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-020-01857-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-01857-3","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":[{"id":"https://openalex.org/G639214180","display_name":null,"funder_award_id":"61527804","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":43,"referenced_works":["https://openalex.org/W1510835000","https://openalex.org/W1517086206","https://openalex.org/W1965305672","https://openalex.org/W2055111849","https://openalex.org/W2108598243","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2148383759","https://openalex.org/W2158983298","https://openalex.org/W2169949291","https://openalex.org/W2212216676","https://openalex.org/W2288514685","https://openalex.org/W2332175535","https://openalex.org/W2517710169","https://openalex.org/W2558906385","https://openalex.org/W2561270043","https://openalex.org/W2612135493","https://openalex.org/W2612389806","https://openalex.org/W2616657598","https://openalex.org/W2620871200","https://openalex.org/W2622036627","https://openalex.org/W2623181870","https://openalex.org/W2731833015","https://openalex.org/W2778086990","https://openalex.org/W2783140350","https://openalex.org/W2791826171","https://openalex.org/W2794956947","https://openalex.org/W2796010929","https://openalex.org/W2799064164","https://openalex.org/W2803485280","https://openalex.org/W2810323393","https://openalex.org/W2884367402","https://openalex.org/W2891777191","https://openalex.org/W2895640967","https://openalex.org/W2952932416","https://openalex.org/W2962716998","https://openalex.org/W2963339238","https://openalex.org/W2963828885","https://openalex.org/W2963893950","https://openalex.org/W2964114039","https://openalex.org/W3101840568","https://openalex.org/W3122238731","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W598185802","https://openalex.org/W2355516524","https://openalex.org/W2361471170","https://openalex.org/W2025616642","https://openalex.org/W2378211422","https://openalex.org/W2666741004","https://openalex.org/W3169126631","https://openalex.org/W2790244305"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}