{"id":"https://openalex.org/W3185996778","doi":"https://doi.org/10.1109/humanoids47582.2021.9555781","title":"Weakly-Supervised Object Detection Learning through Human-Robot Interaction","display_name":"Weakly-Supervised Object Detection Learning through Human-Robot Interaction","publication_year":2021,"publication_date":"2021-07-19","ids":{"openalex":"https://openalex.org/W3185996778","doi":"https://doi.org/10.1109/humanoids47582.2021.9555781","mag":"3185996778"},"language":"en","primary_location":{"id":"doi:10.1109/humanoids47582.2021.9555781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/humanoids47582.2021.9555781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE-RAS 20th International Conference on Humanoid Robots (Humanoids)","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/2107.07901","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012621119","display_name":"Elisa Maiettini","orcid":"https://orcid.org/0000-0002-0127-3014"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Elisa Maiettini","raw_affiliation_strings":["Humanoid Sensing and Perception, Istituto Italiano di Tecnologia, Genoa, Italy","Istituto Italiano di Tecnologia,Humanoid Sensing and Perception,Genoa,Italy"],"affiliations":[{"raw_affiliation_string":"Humanoid Sensing and Perception, Istituto Italiano di Tecnologia, Genoa, Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"Istituto Italiano di Tecnologia,Humanoid Sensing and Perception,Genoa,Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008949994","display_name":"Vadim Tikhanoff","orcid":"https://orcid.org/0000-0001-5295-3928"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vadim Tikhanoff","raw_affiliation_strings":["iCub Tech, Istituto Italiano di Tecnologia, Genoa, Italy","Istituto Italiano di Tecnologia,iCub Tech,Genoa,Italy"],"affiliations":[{"raw_affiliation_string":"iCub Tech, Istituto Italiano di Tecnologia, Genoa, Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"Istituto Italiano di Tecnologia,iCub Tech,Genoa,Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009034971","display_name":"Lorenzo Natale","orcid":"https://orcid.org/0000-0002-8777-5233"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Natale","raw_affiliation_strings":["Humanoid Sensing and Perception, Istituto Italiano di Tecnologia, Genoa, Italy","Istituto Italiano di Tecnologia,Humanoid Sensing and Perception,Genoa,Italy"],"affiliations":[{"raw_affiliation_string":"Humanoid Sensing and Perception, Istituto Italiano di Tecnologia, Genoa, Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"Istituto Italiano di Tecnologia,Humanoid Sensing and Perception,Genoa,Italy","institution_ids":["https://openalex.org/I30771326"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012621119"],"corresponding_institution_ids":["https://openalex.org/I30771326"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08585924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"392","last_page":"399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9976999759674072,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9972000122070312,"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/humanoid-robot","display_name":"Humanoid robot","score":0.7651268243789673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7514728903770447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7350005507469177},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7019952535629272},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6494789719581604},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5882189273834229},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5823066234588623},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.5336554646492004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5184668898582458},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.49793577194213867},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4591265916824341},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.44654586911201477},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44157516956329346},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4381798505783081},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.20170354843139648},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.14267119765281677}],"concepts":[{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.7651268243789673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7514728903770447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7350005507469177},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7019952535629272},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6494789719581604},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5882189273834229},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5823066234588623},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.5336554646492004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5184668898582458},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.49793577194213867},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4591265916824341},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.44654586911201477},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44157516956329346},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4381798505783081},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.20170354843139648},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.14267119765281677},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/humanoids47582.2021.9555781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/humanoids47582.2021.9555781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE-RAS 20th International Conference on Humanoid Robots (Humanoids)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2107.07901","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.07901","pdf_url":"https://arxiv.org/pdf/2107.07901","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:3185996778","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2107.07901","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.2107.07901","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2107.07901","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-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2107.07901","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.07901","pdf_url":"https://arxiv.org/pdf/2107.07901","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/4","score":0.699999988079071,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1554944419","https://openalex.org/W1806263934","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2161222115","https://openalex.org/W2357329924","https://openalex.org/W2407521645","https://openalex.org/W2593463620","https://openalex.org/W2593957897","https://openalex.org/W2605102758","https://openalex.org/W2613718673","https://openalex.org/W2650354119","https://openalex.org/W2746791238","https://openalex.org/W2757539224","https://openalex.org/W2775819221","https://openalex.org/W2783371331","https://openalex.org/W2783822844","https://openalex.org/W2794087413","https://openalex.org/W2914331073","https://openalex.org/W2928502868","https://openalex.org/W2952186574","https://openalex.org/W2962746398","https://openalex.org/W2962989418","https://openalex.org/W2963150697","https://openalex.org/W2963231598","https://openalex.org/W2963275963","https://openalex.org/W2963296333","https://openalex.org/W2963296620","https://openalex.org/W2963516811","https://openalex.org/W2963899745","https://openalex.org/W2964083661","https://openalex.org/W2965018546","https://openalex.org/W2984303785","https://openalex.org/W2989604896","https://openalex.org/W2989706229","https://openalex.org/W2990980466","https://openalex.org/W2991448611","https://openalex.org/W2993182889","https://openalex.org/W3011487966","https://openalex.org/W3012573144","https://openalex.org/W3036772641","https://openalex.org/W3096175651","https://openalex.org/W3097722521","https://openalex.org/W3099587965","https://openalex.org/W3108809886","https://openalex.org/W3110516696","https://openalex.org/W3117549273","https://openalex.org/W3120338137","https://openalex.org/W3205239412","https://openalex.org/W4206723194","https://openalex.org/W6620707391","https://openalex.org/W6631782140","https://openalex.org/W6639102338","https://openalex.org/W6639204139","https://openalex.org/W6714138976","https://openalex.org/W6738073237","https://openalex.org/W6747983729","https://openalex.org/W6766461993","https://openalex.org/W6779663168","https://openalex.org/W6786790245"],"related_works":["https://openalex.org/W3111672163","https://openalex.org/W3199621098","https://openalex.org/W2234518903","https://openalex.org/W2909617616","https://openalex.org/W2757539224","https://openalex.org/W2983468940","https://openalex.org/W2992318529","https://openalex.org/W2557862085","https://openalex.org/W3203606587","https://openalex.org/W3129435223","https://openalex.org/W2724536335","https://openalex.org/W2957674857","https://openalex.org/W2518255983","https://openalex.org/W2920456178","https://openalex.org/W2981626359","https://openalex.org/W2149897770","https://openalex.org/W2183152887","https://openalex.org/W2568289644","https://openalex.org/W304821478","https://openalex.org/W2896612851"],"abstract_inverted_index":{"Reliable":[0],"perception":[1],"and":[2,60,66,75,138,164],"efficient":[3],"adaptation":[4],"to":[5,49,78,86,111,118,132,169],"novel":[6,119],"conditions":[7],"are":[8,31],"priority":[9],"skills":[10],"for":[11,33,96,144,154],"humanoids":[12],"that":[13,82],"function":[14],"in":[15,21,40,55,160],"dynamic":[16],"environments.":[17],"The":[18,107],"vast":[19],"advancements":[20],"latest":[22],"computer":[23],"vision":[24],"research,":[25],"brought":[26],"by":[27,121],"deep":[28],"learning":[29,130,142],"methods,":[30],"appealing":[32],"the":[34,76,80,134,150,157,171,175,178],"robotics":[35],"community.":[36],"However,":[37],"their":[38],"adoption":[39],"applied":[41],"domains":[42],"is":[43,52],"not":[44],"straightforward":[45],"since":[46],"adapting":[47],"them":[48],"new":[50],"tasks":[51],"strongly":[53],"demanding":[54],"terms":[56],"of":[57,167,177],"annotated":[58],"data":[59],"optimization":[61],"time.":[62],"Nevertheless,":[63],"robotic":[64],"platforms,":[65],"especially":[67],"humanoids,":[68],"present":[69,93],"opportunities":[70],"(such":[71],"as":[72],"additional":[73],"sensors":[74],"chance":[77],"explore":[79],"environment)":[81],"can":[83],"be":[84],"exploited":[85],"overcome":[87],"these":[88],"issues.In":[89],"this":[90],"paper,":[91],"we":[92],"a":[94,104,124,161],"pipeline":[95,159],"efficiently":[97],"training":[98],"an":[99,114,140],"object":[100,115],"detection":[101,116],"system":[102,109],"on":[103],"humanoid":[105,152],"robot.":[106],"proposed":[108,158],"allows":[110],"iteratively":[112],"adapt":[113],"model":[117,146],"scenarios,":[120],"exploiting:":[122],"(i)":[123],"teacher-learner":[125],"pipeline,":[126],"(ii)":[127],"weakly":[128],"supervised":[129],"techniques":[131],"reduce":[133],"human":[135],"labeling":[136],"effort":[137],"(iii)":[139],"on-line":[141],"approach":[143],"fast":[145],"re-training.":[147],"We":[148,173],"use":[149],"R1":[151],"robot":[153],"both":[155],"testing":[156],"real-time":[162],"application":[163,179],"acquire":[165],"sequences":[166],"images":[168],"benchmark":[170],"method.":[172],"made":[174],"code":[176],"publicly":[180],"available.":[181]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
