{"id":"https://openalex.org/W4400340475","doi":"https://doi.org/10.48550/arxiv.2407.01397","title":"Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning","display_name":"Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning","publication_year":2024,"publication_date":"2024-07-01","ids":{"openalex":"https://openalex.org/W4400340475","doi":"https://doi.org/10.48550/arxiv.2407.01397"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2407.01397","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.01397","pdf_url":"https://arxiv.org/pdf/2407.01397","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2407.01397","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052351986","display_name":"Matteo Mosconi","orcid":"https://orcid.org/0009-0008-1989-5779"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mosconi, Matteo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104343771","display_name":"Andriy Sorokin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sorokin, Andriy","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008751976","display_name":"Aniello Panariello","orcid":"https://orcid.org/0000-0002-1940-7703"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Panariello, Aniello","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049269493","display_name":"Angelo Porrello","orcid":"https://orcid.org/0000-0002-9022-8484"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Porrello, Angelo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005786080","display_name":"Jacopo Bonato","orcid":"https://orcid.org/0000-0001-6751-3407"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bonato, Jacopo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030534371","display_name":"Marco Cotogni","orcid":"https://orcid.org/0000-0001-7950-7370"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cotogni, Marco","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009494048","display_name":"L. Sabetta","orcid":"https://orcid.org/0000-0002-0865-5891"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sabetta, Luigi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075481810","display_name":"Simone Calderara","orcid":"https://orcid.org/0000-0001-9056-1538"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Calderara, Simone","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5030948871","display_name":"Rita Cucchiara","orcid":"https://orcid.org/0000-0002-2239-283X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cucchiara, Rita","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5052351986"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9621000289916992,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/skeleton","display_name":"Skeleton (computer programming)","score":0.7898476123809814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6318982839584351},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5972270965576172},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.49286627769470215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4517882466316223},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32300588488578796},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08354771137237549},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.06014922261238098}],"concepts":[{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.7898476123809814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6318982839584351},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5972270965576172},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.49286627769470215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4517882466316223},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32300588488578796},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08354771137237549},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.06014922261238098},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2407.01397","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.01397","pdf_url":"https://arxiv.org/pdf/2407.01397","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:iris.unimore.it:11380/1354216","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.01397v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.2407.01397","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2407.01397","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2407.01397","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.01397","pdf_url":"https://arxiv.org/pdf/2407.01397","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4400340475.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2953562271","https://openalex.org/W2334655667","https://openalex.org/W2464530384","https://openalex.org/W2105938841","https://openalex.org/W4253358700","https://openalex.org/W1576128429","https://openalex.org/W4399611050","https://openalex.org/W2269464716","https://openalex.org/W2999049608","https://openalex.org/W3170431411"],"abstract_inverted_index":{"The":[0,117],"use":[1],"of":[2,26],"skeletal":[3],"data":[4],"allows":[5],"deep":[6],"learning":[7],"models":[8],"to":[9],"perform":[10],"action":[11,37],"recognition":[12,38,90],"efficiently":[13],"and":[14,79,101],"effectively.":[15],"Herein,":[16],"we":[17,54,87],"believe":[18],"that":[19,108],"exploring":[20],"this":[21,52,115],"problem":[22],"within":[23,69],"the":[24,102],"context":[25],"Continual":[27],"Learning":[28],"is":[29,119],"crucial.":[30],"While":[31],"numerous":[32],"studies":[33],"focus":[34],"on":[35,85,98],"skeleton-based":[36],"from":[39],"a":[40,45,80,111],"traditional":[41],"offline":[42],"perspective,":[43],"only":[44],"handful":[46],"venture":[47],"into":[48],"online":[49],"approaches.":[50],"In":[51],"respect,":[53],"introduce":[55],"CHARON":[56,109],"(Continual":[57],"Human":[58],"Action":[59],"Recognition":[60],"On":[61],"skeletoNs),":[62],"which":[63],"maintains":[64],"consistent":[65],"performance":[66],"while":[67,92],"operating":[68],"an":[70],"efficient":[71],"framework.":[72],"Through":[73],"techniques":[74],"like":[75],"uniform":[76],"sampling,":[77],"interpolation,":[78],"memory-efficient":[81],"training":[82],"stage":[83],"based":[84],"masking,":[86],"achieve":[88],"improved":[89],"accuracy":[91],"minimizing":[93],"computational":[94],"overhead.":[95],"Our":[96],"experiments":[97],"Split":[99,104],"NTU-60":[100],"proposed":[103],"NTU-120":[105],"datasets":[106],"demonstrate":[107],"sets":[110],"new":[112],"benchmark":[113],"in":[114],"domain.":[116],"code":[118],"available":[120],"at":[121],"https://github.com/Sperimental3/CHARON.":[122]},"counts_by_year":[],"updated_date":"2026-03-30T08:08:38.191290","created_date":"2024-07-06T00:00:00"}