{"id":"https://openalex.org/W2912665460","doi":"https://doi.org/10.1109/icassp40776.2020.9052953","title":"S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition","display_name":"S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W2912665460","doi":"https://doi.org/10.1109/icassp40776.2020.9052953","mag":"2912665460"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9052953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9052953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1902.04051","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081206531","display_name":"Hyungtae Lee","orcid":"https://orcid.org/0000-0002-0631-9894"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hyungtae Lee","raw_affiliation_strings":["US Army Research Laboratory","US Army Research Laboratory ,"],"affiliations":[{"raw_affiliation_string":"US Army Research Laboratory","institution_ids":["https://openalex.org/I166416128"]},{"raw_affiliation_string":"US Army Research Laboratory ,","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077581741","display_name":"Sungmin Eum","orcid":"https://orcid.org/0000-0002-0767-0395"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sungmin Eum","raw_affiliation_strings":["US Army Research Laboratory","US Army Research Laboratory ,"],"affiliations":[{"raw_affiliation_string":"US Army Research Laboratory","institution_ids":["https://openalex.org/I166416128"]},{"raw_affiliation_string":"US Army Research Laboratory ,","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040282679","display_name":"Heesung Kwon","orcid":null},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heesung Kwon","raw_affiliation_strings":["US Army Research Laboratory","US Army Research Laboratory ,"],"affiliations":[{"raw_affiliation_string":"US Army Research Laboratory","institution_ids":["https://openalex.org/I166416128"]},{"raw_affiliation_string":"US Army Research Laboratory ,","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081206531"],"corresponding_institution_ids":["https://openalex.org/I166416128"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00355683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2128","last_page":"2132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991000294685364,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7246547341346741},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7192288041114807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7078441381454468},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6715090274810791},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6678541898727417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.586006760597229},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5719823241233826},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.561740517616272},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5427861213684082},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.5134764313697815},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.500708818435669},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.49257761240005493},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07996422052383423}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7246547341346741},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7192288041114807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7078441381454468},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6715090274810791},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6678541898727417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.586006760597229},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5719823241233826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.561740517616272},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5427861213684082},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.5134764313697815},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.500708818435669},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.49257761240005493},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07996422052383423},{"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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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":5,"locations":[{"id":"doi:10.1109/icassp40776.2020.9052953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9052953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1902.04051","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1902.04051","pdf_url":"https://arxiv.org/pdf/1902.04051","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":null,"raw_type":"text"},{"id":"mag:2912665460","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1902.04051.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1902.04051","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1902.04051","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"},{"id":"doi:10.17023/vhz4-4111","is_oa":true,"landing_page_url":"https://doi.org/10.17023/vhz4-4111","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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:1902.04051","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1902.04051","pdf_url":"https://arxiv.org/pdf/1902.04051","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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2912665460.pdf","grobid_xml":"https://content.openalex.org/works/W2912665460.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1954433395","https://openalex.org/W2018016175","https://openalex.org/W2088049833","https://openalex.org/W2095242101","https://openalex.org/W2134670479","https://openalex.org/W2147625498","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2164598857","https://openalex.org/W2168356304","https://openalex.org/W2207751148","https://openalex.org/W2213713150","https://openalex.org/W2282419112","https://openalex.org/W2407933220","https://openalex.org/W2565614126","https://openalex.org/W2604779395","https://openalex.org/W2801296710","https://openalex.org/W2962945745","https://openalex.org/W2963258374","https://openalex.org/W2963518497","https://openalex.org/W2963899296","https://openalex.org/W2988472227","https://openalex.org/W6679792166","https://openalex.org/W6684191040","https://openalex.org/W6695631863","https://openalex.org/W6714163359"],"related_works":["https://openalex.org/W1689909837","https://openalex.org/W3034657761","https://openalex.org/W1516378886","https://openalex.org/W2339890635","https://openalex.org/W2973030851","https://openalex.org/W1484314471","https://openalex.org/W3153278107","https://openalex.org/W3172007360","https://openalex.org/W2905765182","https://openalex.org/W2770161987","https://openalex.org/W3093245983","https://openalex.org/W2115469106","https://openalex.org/W2906685478","https://openalex.org/W203234824","https://openalex.org/W2810389316","https://openalex.org/W2964837142","https://openalex.org/W3203817474","https://openalex.org/W2969983825","https://openalex.org/W2963879480","https://openalex.org/W2550564506"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,24,83],"novel":[3],"event":[4,47,115,126],"recognition":[5,48,116],"approach":[6],"called":[7],"Spatially-preserved":[8],"Doubly-injected":[9],"Object":[10],"Detection":[11],"CNN":[12],"(S-DOD-CNN),":[13],"which":[14,109],"incorporates":[15],"the":[16,38,41,46,55,61,65,91,114,121],"spatially":[17],"preserved":[18,60],"object":[19,42,107],"detection":[20,43,108],"information":[21,63],"in":[22,54],"both":[23],"direct":[25,66],"and":[26,45,79],"an":[27],"indirect":[28],"way.":[29],"Indirect":[30],"injection":[31],"is":[32],"carried":[33],"out":[34],"by":[35],"simply":[36],"sharing":[37],"weights":[39],"between":[40],"modules":[44],"module.":[49,117],"Meanwhile,":[50],"our":[51,99],"novelty":[52],"lies":[53],"fact":[56],"that":[57],"we":[58,96],"have":[59],"spatial":[62],"for":[64,106,124],"injection.":[67],"Once":[68],"multiple":[69],"regions-of-intereset":[70],"(RoIs)":[71],"are":[72,77,104,110],"acquired,":[73],"their":[74],"feature":[75,86,102],"maps":[76,103],"computed":[78],"then":[80],"projected":[81],"onto":[82],"spatially-preserving":[84],"combined":[85,101],"map":[87],"using":[88],"one":[89],"of":[90],"four":[92],"Rol":[93],"Projection":[94],"approaches":[95],"present.":[97],"In":[98],"architecture,":[100],"generated":[105],"directly":[111],"injected":[112],"to":[113],"Our":[118],"method":[119],"provides":[120],"state-of-the-art":[122],"accuracy":[123],"malicious":[125],"recognition.":[127]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
