{"id":"https://openalex.org/W3116276877","doi":"https://doi.org/10.1109/icpr48806.2021.9411912","title":"Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings","display_name":"Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3116276877","doi":"https://doi.org/10.1109/icpr48806.2021.9411912","mag":"3116276877"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9411912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9411912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/2012.13210","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013505502","display_name":"Daniele De Gregorio","orcid":"https://orcid.org/0000-0001-8203-9176"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Daniele De Gregorio","raw_affiliation_strings":["EYECAN.ai, Bologna, Italy","EYECAN.ai,Bologna,Italy"],"affiliations":[{"raw_affiliation_string":"EYECAN.ai, Bologna, Italy","institution_ids":[]},{"raw_affiliation_string":"EYECAN.ai,Bologna,Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078800000","display_name":"Riccardo Zanella","orcid":"https://orcid.org/0000-0001-5764-9896"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Riccardo Zanella","raw_affiliation_strings":["DEI - University of Bologna, Bologna, Italy","University of Bologna"],"affiliations":[{"raw_affiliation_string":"DEI - University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"University of Bologna","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038240894","display_name":"Gianluca Palli","orcid":"https://orcid.org/0000-0001-9457-4643"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianluca Palli","raw_affiliation_strings":["DEI - University of Bologna, Bologna, Italy","University of Bologna"],"affiliations":[{"raw_affiliation_string":"DEI - University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"University of Bologna","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025618347","display_name":"Luigi Di Stefano","orcid":"https://orcid.org/0000-0001-6014-6421"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Di Stefano","raw_affiliation_strings":["DEI - University of Bologna, Bologna, Italy","University of Bologna"],"affiliations":[{"raw_affiliation_string":"DEI - University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"University of Bologna","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013505502"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5531,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63756195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"7419","last_page":"7426"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9926000237464905,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7941051721572876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7416337728500366},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.741599977016449},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7162110209465027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7017196416854858},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.6941696405410767},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.6910951733589172},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5786858201026917},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5090012550354004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4911594092845917},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4903881549835205},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4620143473148346},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3444807231426239},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.17181208729743958},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15732687711715698},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08230823278427124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07316231727600098}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7941051721572876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7416337728500366},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.741599977016449},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7162110209465027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7017196416854858},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.6941696405410767},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.6910951733589172},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5786858201026917},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5090012550354004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4911594092845917},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4903881549835205},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4620143473148346},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3444807231426239},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.17181208729743958},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15732687711715698},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08230823278427124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07316231727600098},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icpr48806.2021.9411912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9411912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2012.13210","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.13210","pdf_url":"https://arxiv.org/pdf/2012.13210","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:3116276877","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2012.13210","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.2012.13210","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2012.13210","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:2012.13210","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.13210","pdf_url":"https://arxiv.org/pdf/2012.13210","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1849277567","https://openalex.org/W1861492603","https://openalex.org/W1892339738","https://openalex.org/W1969868017","https://openalex.org/W2005489441","https://openalex.org/W2117228865","https://openalex.org/W2120969424","https://openalex.org/W2123435073","https://openalex.org/W2124386111","https://openalex.org/W2137716898","https://openalex.org/W2163605009","https://openalex.org/W2468932261","https://openalex.org/W2580726517","https://openalex.org/W2605102758","https://openalex.org/W2613718673","https://openalex.org/W2737619672","https://openalex.org/W2768879211","https://openalex.org/W2796347433","https://openalex.org/W2799112149","https://openalex.org/W2810883421","https://openalex.org/W2824754393","https://openalex.org/W2891268059","https://openalex.org/W2895439318","https://openalex.org/W2963037989","https://openalex.org/W2963063317","https://openalex.org/W2963299736","https://openalex.org/W2964249569","https://openalex.org/W3106250896","https://openalex.org/W6618372016","https://openalex.org/W6620707391","https://openalex.org/W6639102338","https://openalex.org/W6642733297","https://openalex.org/W6678514604","https://openalex.org/W6684191040","https://openalex.org/W6703780166","https://openalex.org/W6754838991","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3103940333","https://openalex.org/W3183274088","https://openalex.org/W3045884809","https://openalex.org/W2979872554","https://openalex.org/W2999755725","https://openalex.org/W3140321691","https://openalex.org/W2970438463","https://openalex.org/W2794061921","https://openalex.org/W3086854199","https://openalex.org/W2970005032","https://openalex.org/W2968295315","https://openalex.org/W2887379502","https://openalex.org/W3134935724","https://openalex.org/W3172840776","https://openalex.org/W2792991465","https://openalex.org/W3200365636","https://openalex.org/W2958518407","https://openalex.org/W2593744649","https://openalex.org/W3164356644","https://openalex.org/W3037798955"],"abstract_inverted_index":{"In":[0,38],"this":[1,50,73,76],"paper":[2],"we":[3,78,117],"investigate":[4],"how":[5],"to":[6,33,98],"effectively":[7],"deploy":[8],"deep":[9,59],"learning":[10,60],"in":[11,68,75,105],"practical":[12],"industrial":[13,40],"settings,":[14],"such":[15],"as":[16,63,65],"robotic":[17],"grasping":[18],"applications.":[19],"When":[20],"a":[21,80,84],"deep-learning":[22],"based":[23,88],"solution":[24,133],"is":[25,44,52,61,67,134],"proposed,":[26],"usually":[27],"lacks":[28],"of":[29,54,102,131],"any":[30],"simple":[31],"method":[32],"generate":[34],"the":[35,39,45,55,69,106,114,138,142],"training":[36,103],"data.":[37],"field,":[41],"where":[42],"automation":[43],"main":[46,56],"goal,":[47],"not":[48,62],"bridging":[49],"gap":[51],"one":[53],"reasons":[57],"why":[58],"widespread":[64],"it":[66],"academic":[70],"world.":[71],"For":[72],"reason,":[74],"work":[77],"developed":[79],"system":[81],"composed":[82],"by":[83],"3-DoF":[85],"Pose":[86],"Estimator":[87],"on":[89],"Convolutional":[90],"Neural":[91],"Networks":[92],"(CNNs)":[93],"and":[94],"an":[95],"effective":[96],"procedure":[97],"gather":[99],"massive":[100],"amounts":[101],"images":[104],"field":[107],"with":[108,137],"minimal":[109],"human":[110],"intervention.":[111],"By":[112],"automating":[113],"labeling":[115],"stage,":[116],"also":[118],"obtain":[119],"very":[120],"robust":[121],"systems":[122],"suitable":[123],"for":[124,141],"production-level":[125],"usage.":[126],"An":[127],"open":[128],"source":[129],"implementation":[130],"our":[132],"provided,":[135],"alongside":[136],"dataset":[139],"used":[140],"experimental":[143],"evaluation.":[144]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}