{"id":"https://openalex.org/W3017804286","doi":"https://doi.org/10.1016/j.neucom.2020.04.015","title":"Learning channel-wise spatio-temporal representations for video salient object detection","display_name":"Learning channel-wise spatio-temporal representations for video salient object detection","publication_year":2020,"publication_date":"2020-04-23","ids":{"openalex":"https://openalex.org/W3017804286","doi":"https://doi.org/10.1016/j.neucom.2020.04.015","mag":"3017804286"},"language":"en","primary_location":{"id":"doi:10.1016/j.neucom.2020.04.015","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2020.04.015","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","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/A5045005999","display_name":"Kan Huang","orcid":"https://orcid.org/0000-0003-0814-3121"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kan Huang","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen 518055, China","School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen 518055, China"],"raw_orcid":"https://orcid.org/0000-0003-0814-3121","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen 518055, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen 518055, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447691","display_name":"Ge Li","orcid":"https://orcid.org/0000-0003-0140-0949"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ge Li","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen 518055, China","School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen 518055, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen 518055, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen 518055, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100449791","display_name":"Shan Liu","orcid":"https://orcid.org/0000-0002-1442-1207"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Liu","raw_affiliation_strings":["Tencent Inc., Shenzhen 518000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen 518000, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100447691"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210136793"],"apc_list":{"value":2400,"currency":"USD","value_usd":2400},"apc_paid":null,"fwci":0.2999,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.54989009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"403","issue":null,"first_page":"325","last_page":"336"},"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":0.9860000014305115,"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":0.980400025844574,"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":0.8411675095558167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8174245357513428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7285022139549255},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.58358234167099},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5698262453079224},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5629148483276367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5562039613723755},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5377426743507385},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4773326516151428},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.47160109877586365},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4616824984550476},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4531647264957428},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4488818049430847},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43841439485549927},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11662626266479492},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08534151315689087}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.8411675095558167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8174245357513428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7285022139549255},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.58358234167099},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5698262453079224},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5629148483276367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5562039613723755},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5377426743507385},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4773326516151428},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.47160109877586365},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4616824984550476},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4531647264957428},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4488818049430847},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43841439485549927},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11662626266479492},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08534151315689087},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.neucom.2020.04.015","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2020.04.015","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1651273047","display_name":null,"funder_award_id":"20130408-183003656","funder_id":"https://openalex.org/F4320335790","funder_display_name":"Shenzhen Peacock Plan"},{"id":"https://openalex.org/G4281108665","display_name":null,"funder_award_id":"20130408\\u2013183003656","funder_id":"https://openalex.org/F4320335790","funder_display_name":"Shenzhen Peacock Plan"},{"id":"https://openalex.org/G4691584775","display_name":null,"funder_award_id":"183003656","funder_id":"https://openalex.org/F4320335790","funder_display_name":"Shenzhen Peacock Plan"},{"id":"https://openalex.org/G5526867466","display_name":null,"funder_award_id":"U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5544939749","display_name":null,"funder_award_id":"20130408","funder_id":"https://openalex.org/F4320335790","funder_display_name":"Shenzhen Peacock Plan"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335790","display_name":"Shenzhen Peacock Plan","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":88,"referenced_works":["https://openalex.org/W33208438","https://openalex.org/W1522734439","https://openalex.org/W1772076007","https://openalex.org/W1923404803","https://openalex.org/W1954128991","https://openalex.org/W1975862670","https://openalex.org/W1980120082","https://openalex.org/W1983364832","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2041719651","https://openalex.org/W2055611119","https://openalex.org/W2076756823","https://openalex.org/W2100470808","https://openalex.org/W2110019070","https://openalex.org/W2115415549","https://openalex.org/W2118985252","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2161236525","https://openalex.org/W2186222003","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2301941309","https://openalex.org/W2395060326","https://openalex.org/W2469578774","https://openalex.org/W2470139095","https://openalex.org/W2501148868","https://openalex.org/W2524683737","https://openalex.org/W2526468814","https://openalex.org/W2536706996","https://openalex.org/W2547489168","https://openalex.org/W2588503511","https://openalex.org/W2596989490","https://openalex.org/W2619538244","https://openalex.org/W2740248187","https://openalex.org/W2744613561","https://openalex.org/W2745150820","https://openalex.org/W2757028014","https://openalex.org/W2793029440","https://openalex.org/W2799108379","https://openalex.org/W2883429621","https://openalex.org/W2884530474","https://openalex.org/W2895340898","https://openalex.org/W2914393402","https://openalex.org/W2949370174","https://openalex.org/W2952059491","https://openalex.org/W2952186347","https://openalex.org/W2953111739","https://openalex.org/W2953118818","https://openalex.org/W2963032190","https://openalex.org/W2963155035","https://openalex.org/W2963299740","https://openalex.org/W2963403868","https://openalex.org/W2963840672","https://openalex.org/W2963996492","https://openalex.org/W3099036286","https://openalex.org/W3104979525","https://openalex.org/W4236965008","https://openalex.org/W4239147634","https://openalex.org/W6601250092","https://openalex.org/W6601400089","https://openalex.org/W6628877408","https://openalex.org/W6631456553","https://openalex.org/W6639927594","https://openalex.org/W6640615796","https://openalex.org/W6660344663","https://openalex.org/W6674505857","https://openalex.org/W6680437723","https://openalex.org/W6682864246","https://openalex.org/W6687483927","https://openalex.org/W6696085341","https://openalex.org/W6697443983","https://openalex.org/W6697567838","https://openalex.org/W6711975176","https://openalex.org/W6720057617","https://openalex.org/W6720170144","https://openalex.org/W6727955917","https://openalex.org/W6728836704","https://openalex.org/W6731893770","https://openalex.org/W6738846887","https://openalex.org/W6742002635","https://openalex.org/W6742901270","https://openalex.org/W6746563140","https://openalex.org/W6750850801","https://openalex.org/W6752764193","https://openalex.org/W6753493430","https://openalex.org/W6754955957"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W2545348020","https://openalex.org/W4327728159","https://openalex.org/W2912751582","https://openalex.org/W2130893381","https://openalex.org/W1990856605","https://openalex.org/W3120436346"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
