{"id":"https://openalex.org/W4400141614","doi":"https://doi.org/10.48550/arxiv.2406.18845","title":"Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion\n Approach for Event Stream Recognition","display_name":"Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion\n Approach for Event Stream Recognition","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4400141614","doi":"https://doi.org/10.48550/arxiv.2406.18845"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2406.18845","pdf_url":"https://arxiv.org/pdf/2406.18845","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell 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/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2406.18845","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100718987","display_name":"Lan Chen","orcid":"https://orcid.org/0000-0001-5740-2869"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Lan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100507635","display_name":"Dong Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Dong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115591218","display_name":"Xiao Wang","orcid":"https://orcid.org/0000-0003-1955-3687"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xiao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018467344","display_name":"Pengpeng Shao","orcid":"https://orcid.org/0000-0003-4229-8768"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shao, Pengpeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100703373","display_name":"Wei Zhang","orcid":"https://orcid.org/0009-0000-9306-8116"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073082132","display_name":"Yaowei Wang","orcid":"https://orcid.org/0000-0002-6110-4036"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yaowei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023918894","display_name":"Yonghong Tian","orcid":"https://orcid.org/0000-0002-2978-5935"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Yonghong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5010224532","display_name":"Jin Tang","orcid":"https://orcid.org/0000-0003-2721-2719"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Jin","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":77},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.8912,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.8912,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.8718,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.8627,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.62062496},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5764423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.54569405},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5454893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4744621},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3959589},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.057254225},{"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2406.18845","pdf_url":"https://arxiv.org/pdf/2406.18845","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell 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/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2406.18845","pdf_url":"https://arxiv.org/pdf/2406.18845","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell 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/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3116076068","https://openalex.org/W2951359407","https://openalex.org/W2775347418","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2229312674","https://openalex.org/W2166024367","https://openalex.org/W2079911747","https://openalex.org/W2058170566","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Existing":[0],"event":[1,9,63,76,80,83,198],"stream-based":[2,64,199],"pattern":[3,65],"recognition":[4,66],"models":[5,73],"usually":[6],"represent":[7],"the":[8,12,38,105,158,177,209,216],"stream":[10],"as":[11,181],"point":[13],"cloud,":[14],"voxel,":[15],"image,":[16],"etc.,":[17],"and":[18,50,82,87,98,114,117,139,146],"design":[19],"various":[20],"deep":[21],"neural":[22],"networks":[23],"to":[24,175],"learn":[25],"their":[26],"features.":[27,149,164],"Although":[28],"considerable":[29],"results":[30],"can":[31,91],"be":[32,42,92,122,155],"achieved":[33],"in":[34],"simple":[35],"cases,":[36],"however,":[37],"model":[39],"performance":[40,193,207],"may":[41,121],"limited":[43],"by":[44,95,219],"monotonous":[45],"modality":[46],"expressions,":[47],"sub-optimal":[48,119],"fusion,":[49,69],"readout":[51,173],"mechanisms.":[52],"In":[53,165],"this":[54,225],"paper,":[55],"we":[56,125,132,167,203],"propose":[57],"a":[58,118,169],"novel":[59,170],"dual-stream":[60],"framework":[61,190],"for":[62],"via":[67],"differentiated":[68],"termed":[70],"EFV++.":[71],"It":[72],"two":[74],"common":[75],"representations":[77],"simultaneously,":[78],"i.e.,":[79,212],"images":[81],"voxels.":[84],"The":[85,150,221],"spatial":[86],"three-dimensional":[88],"stereo":[89],"information":[90],"learned":[93],"separately":[94],"utilizing":[96],"Transformer":[97,160],"Graph":[99],"Neural":[100],"Network":[101],"(GNN).":[102],"We":[103],"believe":[104],"features":[106,116,153,180],"of":[107,179,224],"each":[108,134],"representation":[109],"still":[110],"contain":[111],"both":[112],"efficient":[113],"redundant":[115],"solution":[120],"obtained":[123],"if":[124],"directly":[126],"fuse":[127],"them":[128],"without":[129],"differentiation.":[130],"Thus,":[131],"divide":[133],"feature":[135],"into":[136,157],"three":[137],"levels":[138],"retain":[140],"high-quality":[141],"features,":[142,145],"blend":[143],"medium-quality":[144],"exchange":[147],"low-quality":[148],"enhanced":[151],"dual":[152],"will":[154],"fed":[156],"fusion":[159],"together":[161],"with":[162],"bottleneck":[163],"addition,":[166],"introduce":[168],"hybrid":[171],"interaction":[172],"mechanism":[174],"enhance":[176],"diversity":[178],"final":[182],"representations.":[183],"Extensive":[184],"experiments":[185],"demonstrate":[186],"that":[187],"our":[188],"proposed":[189],"achieves":[191],"state-of-the-art":[192,206],"on":[194,208,230],"multiple":[195],"widely":[196],"used":[197],"classification":[200],"datasets.":[201],"Specifically,":[202],"achieve":[204],"new":[205],"Bullying10k":[210],"dataset,":[211],"$90.51\\%$,":[213],"which":[214],"exceeds":[215],"second":[217],"place":[218],"$+2.21\\%$.":[220],"source":[222],"code":[223],"paper":[226],"has":[227],"been":[228],"released":[229],"\\url{https://github.com/Event-AHU/EFV_event_classification/tree/EFVpp}.":[231]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4400141614","counts_by_year":[],"updated_date":"2025-04-18T07:36:15.037339","created_date":"2024-06-29"}