{"id":"https://openalex.org/W4391331284","doi":"https://doi.org/10.1109/smc53992.2023.10393923","title":"Video Self-Supervised Cross-Pathway Training Based on Slow and Fast Pathways","display_name":"Video Self-Supervised Cross-Pathway Training Based on Slow and Fast Pathways","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4391331284","doi":"https://doi.org/10.1109/smc53992.2023.10393923"},"language":"en","primary_location":{"id":"doi:10.1109/smc53992.2023.10393923","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10393923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-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/A5100428162","display_name":"Jie Li","orcid":"https://orcid.org/0000-0001-6391-828X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Li","raw_affiliation_strings":["School of Automation Science and Engineering, Xi'an Jiaotong University,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Xi'an Jiaotong University,Xi'an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083202469","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0002-6833-8863"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["School of Automation Science and Engineering, Xi'an Jiaotong University,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Xi'an Jiaotong University,Xi'an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017376214","display_name":"Zhou Jiang","orcid":"https://orcid.org/0000-0001-8146-2028"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Jiang","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong University,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University,Xi'an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074448505","display_name":"Yuehai Chen","orcid":"https://orcid.org/0000-0002-4778-8718"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuehai Chen","raw_affiliation_strings":["School of Automation Science and Engineering, Xi'an Jiaotong University,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Xi'an Jiaotong University,Xi'an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044668212","display_name":"Shaoyi Du","orcid":"https://orcid.org/0000-0002-7092-0596"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyi Du","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,Xi'an,China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100428162"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19598616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"2048","last_page":"2053"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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":0.9973000288009644,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9941999912261963,"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":0.6604053378105164},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5352381467819214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44772958755493164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604053378105164},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5352381467819214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44772958755493164},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53992.2023.10393923","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10393923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W2126579184","https://openalex.org/W2883429621","https://openalex.org/W2948242301","https://openalex.org/W2964037671","https://openalex.org/W2990503944","https://openalex.org/W2997907976","https://openalex.org/W3035524453","https://openalex.org/W3094454579","https://openalex.org/W3106939553","https://openalex.org/W3110190397","https://openalex.org/W3110306138","https://openalex.org/W3115964123","https://openalex.org/W3145385912","https://openalex.org/W3170837227","https://openalex.org/W4312706062","https://openalex.org/W6600983433","https://openalex.org/W6774314701","https://openalex.org/W6784660784"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W230091440","https://openalex.org/W2390279801","https://openalex.org/W2233261550","https://openalex.org/W2358668433","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2997094352"],"abstract_inverted_index":{"In":[0],"the":[1,74,78,93,98,125],"field":[2],"of":[3,15,77,114],"video":[4,70],"self-supervised":[5,48,130],"learning,":[6],"contrastive":[7],"instance":[8],"learning":[9],"methods":[10],"suffer":[11],"from":[12,67],"a":[13,46,88],"lack":[14],"semantic":[16,31],"information,":[17,32],"resulting":[18],"in":[19,22,92,111,122],"inadequate":[20],"generalization":[21],"downstream":[23,112],"tasks.":[24],"Although":[25],"optical":[26],"flow":[27],"can":[28],"provide":[29],"some":[30],"it":[33],"requires":[34],"significant":[35],"computational":[36],"cost":[37],"prior":[38],"to":[39,81,96,101],"training.":[40,84],"To":[41],"address":[42],"this,":[43],"we":[44,86],"propose":[45,87],"Video":[47],"Cross-pathway":[49],"training":[50],"model":[51,60],"based":[52],"on":[53],"Slow":[54],"and":[55,64,72,116,118,135],"Fast":[56],"pathways":[57,80],"(VCSF).":[58],"This":[59],"separately":[61],"extracts":[62],"temporal":[63],"spatial":[65],"features":[66],"pure":[68],"RGB":[69],"frames,":[71],"uses":[73],"complementary":[75],"representations":[76],"two":[79],"conduct":[82],"cross-pathway":[83],"Additionally,":[85],"motion":[89,133],"perception":[90],"module":[91],"low-frame-rate":[94],"space":[95],"enhance":[97],"network's":[99],"ability":[100],"perceive":[102],"rapidly":[103],"changing":[104],"human":[105],"motion.":[106],"We":[107],"conducted":[108],"extensive":[109],"experiments":[110],"missions":[113],"UCF101":[115,126],"HMDB51,":[117],"obtained":[119],"state-of-the-art":[120],"results":[121],"models":[123],"using":[124],"data":[127],"set":[128],"for":[129],"pre-training,":[131],"including":[132],"recognition":[134],"nearest":[136],"neighbor":[137],"retrieval.":[138]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}