{"id":"https://openalex.org/W3097815369","doi":"https://doi.org/10.1109/access.2020.3036533","title":"Cross Complementary Fusion Network for Video Salient Object Detection","display_name":"Cross Complementary Fusion Network for Video Salient Object Detection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3097815369","doi":"https://doi.org/10.1109/access.2020.3036533","mag":"3097815369"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3036533","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3036533","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09250449.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09250449.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100348401","display_name":"Ziyang Wang","orcid":"https://orcid.org/0000-0002-9398-7216"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang Wang","raw_affiliation_strings":["Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), School of Automation, Nanjing University of Information Science and Technology, Nanjing, China","Jiangsu Key Lab of Big Data Analysis Technology (B-DAT), Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), School of Automation, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Jiangsu Key Lab of Big Data Analysis Technology (B-DAT), Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767009","display_name":"Junxia Li","orcid":"https://orcid.org/0000-0001-8488-1981"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxia Li","raw_affiliation_strings":["Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), School of Automation, Nanjing University of Information Science and Technology, Nanjing, China","Jiangsu Key Lab of Big Data Analysis Technology (B-DAT), Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8488-1981","affiliations":[{"raw_affiliation_string":"Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), School of Automation, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Jiangsu Key Lab of Big Data Analysis Technology (B-DAT), Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072381507","display_name":"Zefeng Pan","orcid":"https://orcid.org/0000-0002-8909-8619"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zefeng Pan","raw_affiliation_strings":["Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), School of Automation, Nanjing University of Information Science and Technology, Nanjing, China","Jiangsu Key Lab of Big Data Analysis Technology (B-DAT), Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), School of Automation, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Jiangsu Key Lab of Big Data Analysis Technology (B-DAT), Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2875,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57148707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"201259","last_page":"201270"},"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":0.9940999746322632,"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":0.9918000102043152,"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":0.7450311183929443},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5289459228515625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5220082402229309},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49800968170166016},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.49604830145835876},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.46399375796318054},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41664111614227295},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.41584512591362},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.25982049107551575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7450311183929443},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5289459228515625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5220082402229309},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49800968170166016},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.49604830145835876},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.46399375796318054},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41664111614227295},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.41584512591362},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25982049107551575},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":2,"locations":[{"id":"doi:10.1109/access.2020.3036533","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3036533","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09250449.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1fbabebbe18f4c57bb58fe73130014c3","is_oa":true,"landing_page_url":"https://doaj.org/article/1fbabebbe18f4c57bb58fe73130014c3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 201259-201270 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3036533","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3036533","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09250449.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G1786902565","display_name":null,"funder_award_id":"61702272","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5214933691","display_name":null,"funder_award_id":"2243141701034","funder_id":"https://openalex.org/F4320324849","funder_display_name":"Nanjing University of Information Science and Technology"},{"id":"https://openalex.org/G678416334","display_name":null,"funder_award_id":"2243141701034","funder_id":"https://openalex.org/F4320335990","funder_display_name":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320324849","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19"},{"id":"https://openalex.org/F4320335990","display_name":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3097815369.pdf","grobid_xml":"https://content.openalex.org/works/W3097815369.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1496571393","https://openalex.org/W1522301498","https://openalex.org/W1894057436","https://openalex.org/W1903029394","https://openalex.org/W1947031653","https://openalex.org/W1954128991","https://openalex.org/W2009562524","https://openalex.org/W2055611119","https://openalex.org/W2068329823","https://openalex.org/W2105454024","https://openalex.org/W2110019070","https://openalex.org/W2113708607","https://openalex.org/W2130184867","https://openalex.org/W2133515615","https://openalex.org/W2197046994","https://openalex.org/W2211996548","https://openalex.org/W2293332611","https://openalex.org/W2461475918","https://openalex.org/W2470139095","https://openalex.org/W2472480899","https://openalex.org/W2519528544","https://openalex.org/W2556053754","https://openalex.org/W2560474170","https://openalex.org/W2566030665","https://openalex.org/W2588503511","https://openalex.org/W2610147486","https://openalex.org/W2740667773","https://openalex.org/W2755981968","https://openalex.org/W2757028014","https://openalex.org/W2780708736","https://openalex.org/W2793029440","https://openalex.org/W2799074129","https://openalex.org/W2799108379","https://openalex.org/W2803472033","https://openalex.org/W2807746031","https://openalex.org/W2884530474","https://openalex.org/W2894890793","https://openalex.org/W2895340898","https://openalex.org/W2940700666","https://openalex.org/W2957408986","https://openalex.org/W2962965915","https://openalex.org/W2963032190","https://openalex.org/W2963299740","https://openalex.org/W2963685207","https://openalex.org/W2963868681","https://openalex.org/W2963983744","https://openalex.org/W2964121744","https://openalex.org/W2965638232","https://openalex.org/W2969626490","https://openalex.org/W2984144959","https://openalex.org/W2986056979","https://openalex.org/W2997217064","https://openalex.org/W3011871031","https://openalex.org/W3081913666","https://openalex.org/W6631190155","https://openalex.org/W6639359414","https://openalex.org/W6726799623","https://openalex.org/W6744446066"],"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/W4394266730","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W2965594636","https://openalex.org/W2164674712"],"abstract_inverted_index":{"Recently,":[0],"optical":[1,17,100],"flow":[2,18,101],"guided":[3],"video":[4,49,116],"saliency":[5,50,75],"detection":[6],"methods":[7,28],"have":[8],"achieved":[9],"high":[10],"performance.":[11],"However,":[12],"the":[13,24,106,121,124,138,145,153,157,167],"computation":[14],"cost":[15],"of":[16,26,55,99,141,147,169],"is":[19],"usually":[20],"expensive,":[21],"which":[22],"limits":[23],"applications":[25],"these":[27],"in":[29,172],"time-critical":[30],"scenarios.":[31],"In":[32,134],"this":[33],"article,":[34],"we":[35],"propose":[36],"an":[37,95],"end-to-end":[38],"cross":[39],"complementary":[40],"network":[41,47],"(CCNet)":[42],"based":[43],"on":[44],"fully":[45],"convolutional":[46],"for":[48,78],"detection.":[51],"The":[52,70],"CCNet":[53],"consists":[54],"two":[56],"effective":[57,96],"components:":[58],"single-image":[59],"representation":[60,140],"enhancement":[61],"(SRE)":[62],"module":[63,72,86,113],"and":[64,114,127,149,156],"spatiotemporal":[65,104,110,122,154],"information":[66,111,129,155],"learning":[67,77],"(STIL)":[68],"module.":[69,93],"SRE":[71,148],"provides":[73],"robust":[74],"feature":[76,139],"a":[79,83,89,109,115,142],"single":[80,143],"image":[81],"through":[82],"pyramid":[84],"pooling":[85],"followed":[87],"by":[88],"lightweight":[90],"channel":[91],"attention":[92],"As":[94],"alternative":[97],"operation":[98],"to":[102,119,136],"extract":[103],"information,":[105,123],"STIL":[107,150],"introduces":[108],"fusion":[112],"correlation":[117,158],"filter":[118],"learn":[120,152],"inner":[125],"collaborative":[126],"interactive":[128],"between":[130,159],"consecutive":[131,160],"input":[132],"groups.":[133],"addition":[135],"enhancing":[137],"image,":[144],"combination":[146],"can":[151],"images":[161],"well.":[162],"Extensive":[163],"experimental":[164],"results":[165],"demonstrate":[166],"effectiveness":[168],"our":[170],"method":[171],"comparison":[173],"with":[174],"14":[175],"state-of-the-art":[176],"approaches.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
