{"id":"https://openalex.org/W3204239658","doi":"https://doi.org/10.1109/iccv48922.2021.01318","title":"Else-Net: Elastic Semantic Network for Continual Action Recognition from Skeleton Data","display_name":"Else-Net: Elastic Semantic Network for Continual Action Recognition from Skeleton Data","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W3204239658","doi":"https://doi.org/10.1109/iccv48922.2021.01318","mag":"3204239658"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv48922.2021.01318","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"2021 IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.lancs.ac.uk/id/eprint/160606/1/Li_Else_Net_Elastic_Semantic_Network_for_Continual_Action_Recognition_From_Skeleton_ICCV_2021_paper.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114911027","display_name":"Tianjiao Li","orcid":"https://orcid.org/0000-0002-7912-5281"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"funder","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tianjiao Li","raw_affiliation_strings":["Singapore University of Technology and Design"],"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083239184","display_name":"Qiuhong Ke","orcid":"https://orcid.org/0000-0001-9998-3614"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"funder","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qiuhong Ke","raw_affiliation_strings":["University of Melbourne"],"affiliations":[{"raw_affiliation_string":"University of Melbourne","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101524297","display_name":"Hossein Rahmani","orcid":"https://orcid.org/0000-0003-1920-0371"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"funder","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hossein Rahmani","raw_affiliation_strings":["Lancaster University"],"affiliations":[{"raw_affiliation_string":"Lancaster University","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023774415","display_name":"Rui En Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"funder","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rui En Ho","raw_affiliation_strings":["Singapore University of Technology and Design"],"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036631624","display_name":"Henghui Ding","orcid":"https://orcid.org/0000-0003-4868-6526"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"funder","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Henghui Ding","raw_affiliation_strings":["Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100361857","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0002-4365-4165"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"funder","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["Singapore University of Technology and Design"],"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design","institution_ids":["https://openalex.org/I152815399"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.629,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.999882,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"13414","last_page":"13423"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9952,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9934,"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/action-recognition","display_name":"Action Recognition","score":0.48978114}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.85412765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79745793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.66670847},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.600726},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5229788},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4907528},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.48978114},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.45620108},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4104101},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.26476437},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.06941566},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv48922.2021.01318","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"2021 IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/160606/1/Li_Else_Net_Elastic_Semantic_Network_for_Continual_Action_Recognition_From_Skeleton_ICCV_2021_paper.pdf","pdf_url":"https://eprints.lancs.ac.uk/id/eprint/160606/1/Li_Else_Net_Elastic_Semantic_Network_for_Continual_Action_Recognition_From_Skeleton_ICCV_2021_paper.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":["Lancaster University"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/160606/1/Li_Else_Net_Elastic_Semantic_Network_for_Continual_Action_Recognition_From_Skeleton_ICCV_2021_paper.pdf","pdf_url":"https://eprints.lancs.ac.uk/id/eprint/160606/1/Li_Else_Net_Elastic_Semantic_Network_for_Continual_Action_Recognition_From_Skeleton_ICCV_2021_paper.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":["Lancaster University"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions","score":0.5}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":46,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W1777221758","https://openalex.org/W1893516992","https://openalex.org/W2047057213","https://openalex.org/W2424347275","https://openalex.org/W2510185399","https://openalex.org/W2519711346","https://openalex.org/W2560647685","https://openalex.org/W2601271987","https://openalex.org/W2736334449","https://openalex.org/W2751841288","https://openalex.org/W2776687321","https://openalex.org/W2798644314","https://openalex.org/W2902625698","https://openalex.org/W2944006115","https://openalex.org/W2948058585","https://openalex.org/W2952587893","https://openalex.org/W2960406243","https://openalex.org/W2963076818","https://openalex.org/W2963369114","https://openalex.org/W2963393494","https://openalex.org/W2963526497","https://openalex.org/W2963924008","https://openalex.org/W2964134613","https://openalex.org/W2964189064","https://openalex.org/W2970671370","https://openalex.org/W2971486392","https://openalex.org/W2981356320","https://openalex.org/W2992059788","https://openalex.org/W3006892894","https://openalex.org/W3018492473","https://openalex.org/W3034846572","https://openalex.org/W3035225512","https://openalex.org/W3094251525","https://openalex.org/W3103858256","https://openalex.org/W3107505289","https://openalex.org/W3107849462","https://openalex.org/W3108280718","https://openalex.org/W3108411658","https://openalex.org/W3109306201","https://openalex.org/W3121275803","https://openalex.org/W3145352071","https://openalex.org/W3174053790","https://openalex.org/W3203227473","https://openalex.org/W4230005465","https://openalex.org/W4295883599"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W4287549553","https://openalex.org/W4256618828","https://openalex.org/W3116498279","https://openalex.org/W2905319430","https://openalex.org/W2786691313","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W2020521331","https://openalex.org/W101162712"],"abstract_inverted_index":{"Most":[0],"of":[1,14,17,30,36,127,173,186],"the":[2,12,51,57,60,101,107,120,125,170,174,191],"state-of-the-art":[3],"action":[4,31,197,206],"recognition":[5,198,207],"methods":[6],"focus":[7],"on":[8,203],"offline":[9],"learning,":[10],"where":[11,33],"samples":[13],"all":[15],"types":[16,35],"actions":[18,38,63,67,88,130,143],"need":[19],"to":[20,50,68,84,96,115,123,146],"be":[21,69],"provided":[22],"at":[23],"once.":[24],"Here,":[25],"we":[26,72],"address":[27],"continual":[28,184,196],"learning":[29,82,104,135,185],"recognition,":[32],"various":[34],"new":[37,66,109,113,117,136],"are":[39],"continuously":[40],"learned":[41,62,129],"over":[42,89],"time.":[43,90],"This":[44],"task":[45],"is":[46,94],"quite":[47],"challenging,":[48],"owing":[49],"catastrophic":[52],"forgetting":[53,133],"problem":[54],"stemming":[55],"from":[56,179],"discrepancies":[58],"between":[59],"previously":[61,128],"and":[64,99,131,199],"current":[65,108],"learned.":[70],"Therefore,":[71],"propose":[73],"Else-Net,":[74],"a":[75,147,151],"novel":[76],"Elastic":[77],"Semantic":[78],"Network":[79],"with":[80],"multiple":[81],"blocks":[83,105,114],"learn":[85],"diversified":[86],"human":[87,142,176],"Specifically,":[91],"our":[92,166],"Else-Net":[93,168],"able":[95],"automatically":[97],"search":[98],"update":[100],"most":[102],"relevant":[103],"w.r.t.":[106],"action,":[110],"or":[111],"explore":[112],"store":[116],"knowledge,":[118],"preserving":[119],"unmatched":[121],"ones":[122],"retain":[124],"knowledge":[126,172],"alleviates":[132],"when":[134],"actions.":[137,187],"Moreover,":[138],"even":[139],"though":[140],"different":[141,180],"may":[144],"vary":[145],"large":[148],"extent":[149],"as":[150],"whole,":[152],"their":[153],"local":[154],"body":[155,177],"parts":[156,178],"can":[157],"still":[158],"share":[159],"many":[160],"homogeneous":[161],"features.":[162],"Inspired":[163],"by":[164],"this,":[165],"proposed":[167,192],"mines":[169],"shared":[171],"decomposed":[175],"actions,":[181],"which":[182],"benefits":[183],"Experiments":[188],"show":[189],"that":[190],"approach":[193],"enables":[194],"effective":[195],"achieves":[200],"promising":[201],"performance":[202],"two":[204],"large-scale":[205],"datasets.":[208]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3204239658","counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":4}],"updated_date":"2025-05-02T11:49:45.546830","created_date":"2021-10-11"}