{"id":"https://openalex.org/W3171718860","doi":"https://doi.org/10.1109/icip42928.2021.9506649","title":"Multistream Validnet: Improving 6D Object Pose Estimation by Automatic Multistream Validation","display_name":"Multistream Validnet: Improving 6D Object Pose Estimation by Automatic Multistream Validation","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3171718860","doi":"https://doi.org/10.1109/icip42928.2021.9506649","mag":"3171718860"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","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/2106.06684","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064264333","display_name":"Joy Mazumder","orcid":null},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Joy Mazumder","raw_affiliation_strings":["Queen&#x2019;s University,Ingenuity Labs,Dept. Electrical and Computer Engineering,Kingston,Canada","Queen's University, Kingston, Canada"],"affiliations":[{"raw_affiliation_string":"Queen&#x2019;s University,Ingenuity Labs,Dept. Electrical and Computer Engineering,Kingston,Canada","institution_ids":["https://openalex.org/I204722609"]},{"raw_affiliation_string":"Queen's University, Kingston, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027238549","display_name":"Mohsen Zand","orcid":"https://orcid.org/0000-0001-8177-6000"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohsen Zand","raw_affiliation_strings":["Queen&#x2019;s University,Ingenuity Labs,Dept. Electrical and Computer Engineering,Kingston,Canada","Queen's University, Kingston, Canada"],"affiliations":[{"raw_affiliation_string":"Queen&#x2019;s University,Ingenuity Labs,Dept. Electrical and Computer Engineering,Kingston,Canada","institution_ids":["https://openalex.org/I204722609"]},{"raw_affiliation_string":"Queen's University, Kingston, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052248307","display_name":"Michael Greenspan","orcid":"https://orcid.org/0000-0001-6054-8770"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Michael Greenspan","raw_affiliation_strings":["Queen&#x2019;s University,Ingenuity Labs,Dept. Electrical and Computer Engineering,Kingston,Canada","(Queen's University)"],"affiliations":[{"raw_affiliation_string":"Queen&#x2019;s University,Ingenuity Labs,Dept. Electrical and Computer Engineering,Kingston,Canada","institution_ids":["https://openalex.org/I204722609"]},{"raw_affiliation_string":"(Queen's University)","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064264333"],"corresponding_institution_ids":["https://openalex.org/I204722609"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06601165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3143","last_page":"3147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9973999857902527,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9882000088691711,"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/pose","display_name":"Pose","score":0.7999082803726196},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7021514177322388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.669157087802887},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6001203656196594},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5451506972312927},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5221055746078491},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5022928714752197},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41968396306037903},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17839190363883972},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07025274634361267}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7999082803726196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7021514177322388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.669157087802887},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6001203656196594},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5451506972312927},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5221055746078491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5022928714752197},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41968396306037903},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17839190363883972},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07025274634361267},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icip42928.2021.9506649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2106.06684","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.06684","pdf_url":"https://arxiv.org/pdf/2106.06684","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:3171718860","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2106.06684","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.2106.06684","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2106.06684","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/h5t7-z896","is_oa":true,"landing_page_url":"https://doi.org/10.17023/h5t7-z896","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:2106.06684","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.06684","pdf_url":"https://arxiv.org/pdf/2106.06684","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3171718860.pdf","grobid_xml":"https://content.openalex.org/works/W3171718860.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1867138996","https://openalex.org/W1881711072","https://openalex.org/W2049981393","https://openalex.org/W2083624955","https://openalex.org/W2126624994","https://openalex.org/W2160821342","https://openalex.org/W2161168419","https://openalex.org/W2200124539","https://openalex.org/W2560609797","https://openalex.org/W2566265240","https://openalex.org/W2585959050","https://openalex.org/W2768379550","https://openalex.org/W2806302198","https://openalex.org/W2950747644","https://openalex.org/W2963188159","https://openalex.org/W2964056579","https://openalex.org/W2992053959","https://openalex.org/W2997188771","https://openalex.org/W3003215308","https://openalex.org/W3004356397","https://openalex.org/W3011119219","https://openalex.org/W3018591023","https://openalex.org/W3089979088","https://openalex.org/W3100901148","https://openalex.org/W3208358982","https://openalex.org/W6637373629","https://openalex.org/W6639153760","https://openalex.org/W6639312378","https://openalex.org/W6745401828","https://openalex.org/W6748877343","https://openalex.org/W6751887607","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W2987400952","https://openalex.org/W1899042909","https://openalex.org/W2116626343","https://openalex.org/W2153771189","https://openalex.org/W3177103554","https://openalex.org/W2541791448","https://openalex.org/W3159915121","https://openalex.org/W3175162279","https://openalex.org/W2054434050","https://openalex.org/W2804841235","https://openalex.org/W2893714355","https://openalex.org/W2999520425","https://openalex.org/W2294849777","https://openalex.org/W1598074268","https://openalex.org/W2606510888","https://openalex.org/W2207085776","https://openalex.org/W2891925059","https://openalex.org/W2475006391","https://openalex.org/W2322706266","https://openalex.org/W3009260343"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,31,45,61,71],"novel":[4],"approach":[5,58],"to":[6],"improve":[7,96],"the":[8,18,35,49,52,67,74,97],"results":[9,102],"of":[10,20,37,51,73,103],"pose":[11,40,63,98],"estimation":[12,41,64,99],"by":[13,29,78,105],"detecting":[14],"and":[15,22,43,84],"distinguishing":[16],"between":[17],"occurrence":[19],"True":[21],"False":[23],"Positive":[24],"results.":[25],"It":[26],"achieves":[27],"this":[28],"training":[30],"binary":[32,46],"classifier":[33],"on":[34,66,107],"output":[36],"an":[38],"arbitrary":[39],"algorithm,":[42],"returns":[44],"label":[47],"indicating":[48],"validity":[50],"result.":[53],"We":[54],"demonstrate":[55],"that":[56],"our":[57,92],"improves":[59],"upon":[60],"state-of-the-art":[62],"result":[65],"Sil\u00e9ane":[68],"dataset,":[69],"outperforming":[70],"variation":[72],"alternative":[75],"CullNet":[76],"method":[77,93],"4.15%":[79],"in":[80,86],"average":[81,100],"class":[82],"accuracy":[83,88],"0.73%":[85],"overall":[87],"at":[89],"validation.":[90],"Applying":[91],"can":[94],"also":[95],"precision":[101],"Op-Net":[104],"6.06%":[106],"average.":[108]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
