{"id":"https://openalex.org/W4388720139","doi":"https://doi.org/10.1109/gcce59613.2023.10315584","title":"Video Salient Object Detection Using Multi-Scale Self-Attention","display_name":"Video Salient Object Detection Using Multi-Scale Self-Attention","publication_year":2023,"publication_date":"2023-10-10","ids":{"openalex":"https://openalex.org/W4388720139","doi":"https://doi.org/10.1109/gcce59613.2023.10315584"},"language":"en","primary_location":{"id":"doi:10.1109/gcce59613.2023.10315584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce59613.2023.10315584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://waseda.repo.nii.ac.jp/record/2000940/files/t5121FG56.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114100125","display_name":"Jiahao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Jiahao Liu","raw_affiliation_strings":["Waseda University,CSCE, Graduate School of FSE,Tokyo,Japan","CSCE, Graduate School of FSE, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University,CSCE, Graduate School of FSE,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"CSCE, Graduate School of FSE, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022769703","display_name":"Haoyuan Liu","orcid":"https://orcid.org/0000-0001-8728-332X"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haoyuan Liu","raw_affiliation_strings":["Waseda University,CSCE, Graduate School of FSE,Tokyo,Japan","CSCE, Graduate School of FSE, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University,CSCE, Graduate School of FSE,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"CSCE, Graduate School of FSE, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025914451","display_name":"Hiroshi Watanabe","orcid":"https://orcid.org/0000-0003-1557-3015"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Watanabe","raw_affiliation_strings":["Waseda University,CSCE, Graduate School of FSE,Tokyo,Japan","CSCE, Graduate School of FSE, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University,CSCE, Graduate School of FSE,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"CSCE, Graduate School of FSE, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5114100125"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.1199,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43564473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"368","last_page":"371"},"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":0.9976000189781189,"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":0.9937999844551086,"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/salient","display_name":"Salient","score":0.8885401487350464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8284177780151367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6539874076843262},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5454744100570679},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5302649736404419},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5280402898788452},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5116341710090637},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4674677848815918},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4517679214477539},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07149633765220642}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.8885401487350464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8284177780151367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6539874076843262},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5454744100570679},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5302649736404419},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5280402898788452},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5116341710090637},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4674677848815918},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4517679214477539},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07149633765220642},{"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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/gcce59613.2023.10315584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce59613.2023.10315584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"},{"id":"pmh:oai:waseda.repo.nii.ac.jp:02000940","is_oa":true,"landing_page_url":null,"pdf_url":"https://waseda.repo.nii.ac.jp/record/2000940/files/t5121FG56.pdf","source":{"id":"https://openalex.org/S4377196531","display_name":"Waseda University Repository (Waseda University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I150744194","host_organization_name":"Waseda University","host_organization_lineage":["https://openalex.org/I150744194"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:irdb.nii.ac.jp:00835:0006022226","is_oa":true,"landing_page_url":"https://waseda.repo.nii.ac.jp/records/2000940","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"master thesis"}],"best_oa_location":{"id":"pmh:oai:waseda.repo.nii.ac.jp:02000940","is_oa":true,"landing_page_url":null,"pdf_url":"https://waseda.repo.nii.ac.jp/record/2000940/files/t5121FG56.pdf","source":{"id":"https://openalex.org/S4377196531","display_name":"Waseda University Repository (Waseda University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I150744194","host_organization_name":"Waseda University","host_organization_lineage":["https://openalex.org/I150744194"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.550000011920929,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388720139.pdf","grobid_xml":"https://content.openalex.org/works/W4388720139.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1982075130","https://openalex.org/W2997217064","https://openalex.org/W3094502228","https://openalex.org/W3131500599","https://openalex.org/W4313160444","https://openalex.org/W4362654014","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W1990856605","https://openalex.org/W4388913932","https://openalex.org/W4309130263","https://openalex.org/W4292830139","https://openalex.org/W3127668761"],"abstract_inverted_index":{"How":[0],"to":[1,12,26,32,83],"effectively":[2],"model":[3,85],"both":[4],"spatial":[5],"information":[6,30],"and":[7],"temporal":[8],"dynamics":[9],"is":[10],"crucial":[11],"Video":[13],"Salient":[14],"Object":[15],"Detection":[16],"(VSOD).":[17],"Recently,":[18],"there":[19],"are":[20],"some":[21],"works":[22],"using":[23,109],"self-attention":[24],"mechanism":[25],"capture":[27],"the":[28,50,56,59,63,86],"spatiotemporal":[29,51,87],"due":[31],"its":[33],"ability":[34,57],"of":[35,39,49,58,69,89],"modeling":[36],"long-range":[37],"dependencies":[38],"patch":[40],"tokens.":[41],"However,":[42],"these":[43],"models":[44,60],"designate":[45],"similar":[46],"receptive":[47],"fields":[48],"feature":[52],"maps,":[53],"which":[54],"limits":[55],"in":[61],"handling":[62],"frames":[64],"with":[65,92],"multiple":[66],"salient":[67,90],"objects":[68,91],"different":[70,93],"scales.":[71,94],"To":[72],"address":[73],"this":[74],"issue,":[75],"we":[76],"propose":[77],"a":[78],"Multi-Scale":[79],"Self-Attention":[80],"(MSSA)":[81],"operation":[82],"better":[84,103],"features":[88],"The":[95],"experimental":[96],"results":[97],"demonstrate":[98],"that":[99],"our":[100],"method":[101],"achieves":[102],"performance":[104],"on":[105],"challenge":[106],"datasets":[107],"by":[108],"MSSA":[110],"operation.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}