{"id":"https://openalex.org/W3090457550","doi":"https://doi.org/10.1109/tnnls.2020.2986823","title":"End-to-End Video Saliency Detection via a Deep Contextual Spatiotemporal Network","display_name":"End-to-End Video Saliency Detection via a Deep Contextual Spatiotemporal Network","publication_year":2020,"publication_date":"2020-10-05","ids":{"openalex":"https://openalex.org/W3090457550","doi":"https://doi.org/10.1109/tnnls.2020.2986823","mag":"3090457550","pmid":"https://pubmed.ncbi.nlm.nih.gov/33017291"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.2986823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2986823","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5102380578","display_name":"Lina Wei","orcid":"https://orcid.org/0000-0002-6994-1170"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"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":true,"raw_author_name":"Lina Wei","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China","School of Automation, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101873694","display_name":"Shanshan Zhao","orcid":"https://orcid.org/0000-0003-0682-8645"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shanshan Zhao","raw_affiliation_strings":["School of Computer Science, The University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070072330","display_name":"Omar Farouk Bourahla","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Omar Farouk Bourahla","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690775","display_name":"Xi Li","orcid":"https://orcid.org/0000-0002-4866-5672"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Li","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004882141","display_name":"Fei Wu","orcid":"https://orcid.org/0000-0003-2139-8807"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wu","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008666077","display_name":"Yueting Zhuang","orcid":"https://orcid.org/0000-0001-9017-2508"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueting Zhuang","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012529382","display_name":"Junwei Han","orcid":"https://orcid.org/0000-0001-5545-7217"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwei Han","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","School of Automation, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081346568","display_name":"Mingliang Xu","orcid":"https://orcid.org/0000-0002-6885-3451"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingliang Xu","raw_affiliation_strings":["School of Information Engineering, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5102380578"],"corresponding_institution_ids":["https://openalex.org/I200845125","https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.0806,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.80165963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"32","issue":"4","first_page":"1691","last_page":"1702"},"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":0.9950000047683716,"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":0.9667999744415283,"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":0.8215427994728088},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7591805458068848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7282374501228333},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6533617377281189},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6509653925895691},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.6059474945068359},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6035304665565491},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5432892441749573},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5333412289619446},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47313347458839417},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4683949947357178},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4648837745189667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45949414372444153},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.44614285230636597},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.4340789318084717},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4250972867012024},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36816340684890747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8215427994728088},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7591805458068848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7282374501228333},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6533617377281189},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6509653925895691},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.6059474945068359},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6035304665565491},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5432892441749573},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5333412289619446},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47313347458839417},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4683949947357178},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4648837745189667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45949414372444153},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.44614285230636597},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.4340789318084717},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4250972867012024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36816340684890747},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.2986823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2986823","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:33017291","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33017291","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6123446510","display_name":null,"funder_award_id":"LR19F020004","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":96,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W1485009520","https://openalex.org/W1496571393","https://openalex.org/W1559885501","https://openalex.org/W1686810756","https://openalex.org/W1894057436","https://openalex.org/W1897243830","https://openalex.org/W1942214758","https://openalex.org/W1946606198","https://openalex.org/W1947031653","https://openalex.org/W1965301399","https://openalex.org/W1980120082","https://openalex.org/W2002574940","https://openalex.org/W2002781701","https://openalex.org/W2031489346","https://openalex.org/W2036691646","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2052524720","https://openalex.org/W2062563118","https://openalex.org/W2080142539","https://openalex.org/W2093753603","https://openalex.org/W2097117768","https://openalex.org/W2100470808","https://openalex.org/W2105454024","https://openalex.org/W2108598243","https://openalex.org/W2110019070","https://openalex.org/W2113708607","https://openalex.org/W2118490033","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2138682569","https://openalex.org/W2147347517","https://openalex.org/W2149142337","https://openalex.org/W2155893237","https://openalex.org/W2161185676","https://openalex.org/W2166650627","https://openalex.org/W2211629196","https://openalex.org/W2212216676","https://openalex.org/W2214352687","https://openalex.org/W2270657321","https://openalex.org/W2342491128","https://openalex.org/W2344552205","https://openalex.org/W2358876993","https://openalex.org/W2403871051","https://openalex.org/W2461475918","https://openalex.org/W2470139095","https://openalex.org/W2473702307","https://openalex.org/W2514658199","https://openalex.org/W2518874898","https://openalex.org/W2519528544","https://openalex.org/W2520274358","https://openalex.org/W2522485430","https://openalex.org/W2537110381","https://openalex.org/W2547489168","https://openalex.org/W2572591920","https://openalex.org/W2585592883","https://openalex.org/W2612135493","https://openalex.org/W2615981376","https://openalex.org/W2738865770","https://openalex.org/W2740797387","https://openalex.org/W2757028014","https://openalex.org/W2773771410","https://openalex.org/W2777774479","https://openalex.org/W2780914530","https://openalex.org/W2783231089","https://openalex.org/W2787839673","https://openalex.org/W2792965491","https://openalex.org/W2799206379","https://openalex.org/W2895136135","https://openalex.org/W2952074466","https://openalex.org/W2962835968","https://openalex.org/W2962935064","https://openalex.org/W2963007515","https://openalex.org/W2963983744","https://openalex.org/W2964145162","https://openalex.org/W2964352379","https://openalex.org/W3103757879","https://openalex.org/W3122238731","https://openalex.org/W4239147634","https://openalex.org/W6600850345","https://openalex.org/W6628877408","https://openalex.org/W6629607343","https://openalex.org/W6633558305","https://openalex.org/W6637373629","https://openalex.org/W6639359414","https://openalex.org/W6639624585","https://openalex.org/W6651042577","https://openalex.org/W6675628854","https://openalex.org/W6680437723","https://openalex.org/W6720942401","https://openalex.org/W6726799623","https://openalex.org/W6729248755","https://openalex.org/W6731833559","https://openalex.org/W6744589880","https://openalex.org/W6755168849"],"related_works":["https://openalex.org/W3179968364","https://openalex.org/W2151749779","https://openalex.org/W1999612375","https://openalex.org/W2938107654","https://openalex.org/W3008587939","https://openalex.org/W4249847449","https://openalex.org/W44395729","https://openalex.org/W4387301579","https://openalex.org/W2765338038","https://openalex.org/W1496225612"],"abstract_inverted_index":{"As":[0],"an":[1,70,78,149],"interesting":[2,18],"and":[3,29,45,93],"important":[4,49],"problem":[5],"in":[6,20,69,132,163],"computer":[7],"vision,":[8],"learning-based":[9],"video":[10,22,82],"saliency":[11,83,120,130],"detection":[12,84],"aims":[13],"to":[14,58],"discover":[15],"the":[16,25,88,99,104,118,138,145,158,166],"visually":[17],"regions":[19],"a":[21,65,109,133],"sequence.":[23],"Capturing":[24],"information":[26,89,102],"within":[27,64],"frame":[28,31,124],"between":[30],"at":[32],"different":[33],"aspects":[34],"(such":[35],"as":[36],"spatial":[37,91],"contexts,":[38],"motion":[39,94],"information,":[40],"temporal":[41,100],"consistency":[42,101],"across":[43,103],"frames,":[44],"multiscale":[46,119],"representation)":[47],"is":[48,56],"for":[50,122,128],"this":[51,74],"task.":[52],"A":[53],"key":[54],"issue":[55],"how":[57],"jointly":[59],"model":[60],"all":[61,144],"these":[62],"factors":[63],"unified":[66],"data-driven":[67],"scheme":[68],"end-to-end":[71,79,150],"fashion.":[72],"In":[73,116],"article,":[75],"we":[76],"propose":[77],"spatiotemporal":[80],"deep":[81,140,152],"approach,":[85],"which":[86],"captures":[87],"on":[90],"contexts":[92],"characteristics.":[95],"Furthermore,":[96],"it":[97],"encodes":[98],"consecutive":[105],"frames":[106],"by":[107],"implementing":[108],"convolutional":[110],"long":[111],"short-term":[112],"memory":[113],"(Conv-LSTM)":[114],"model.":[115],"addition,":[117],"properties":[121],"each":[123],"are":[125],"adaptively":[126],"integrated":[127],"final":[129],"prediction":[131],"collaborative":[134],"feature-pyramid":[135],"way.":[136],"Finally,":[137],"proposed":[139],"learning":[141,153],"approach":[142,162],"unifies":[143],"aforementioned":[146],"parts":[147],"into":[148],"joint":[151],"scheme.":[154],"Experimental":[155],"results":[156],"demonstrate":[157],"effectiveness":[159],"of":[160],"our":[161],"comparison":[164],"with":[165],"state-of-the-art":[167],"approaches.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}