{"id":"https://openalex.org/W4298112232","doi":"https://doi.org/10.1109/ro-man53752.2022.9900780","title":"From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach","display_name":"From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach","publication_year":2022,"publication_date":"2022-08-29","ids":{"openalex":"https://openalex.org/W4298112232","doi":"https://doi.org/10.1109/ro-man53752.2022.9900780"},"language":"en","primary_location":{"id":"doi:10.1109/ro-man53752.2022.9900780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man53752.2022.9900780","pdf_url":null,"source":{"id":"https://openalex.org/S4363607995","display_name":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"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":["Istituto Italiano di Tecnologia,Humanoid Sensing and Perception,Genoa,Italy","Humanoid Sensing and Perception, Istituto Italiano di Tecnologia, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto Italiano di Tecnologia,Humanoid Sensing and Perception,Genoa,Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"Humanoid Sensing and Perception, Istituto Italiano di Tecnologia, Genoa, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068052561","display_name":"Andrea Maracani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]},{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Andrea Maracani","raw_affiliation_strings":["Istituto Italiano di Tecnologia,Humanoid Sensing and Perception,Genoa,Italy","MIT, Cambridge, MA, USA","Humanoid Sensing and Perception, Istituto Italiano di Tecnologia, Genoa, Italy","IIT@MIT - Laboratory for Computational and Statistical Learning, IIT, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto Italiano di Tecnologia,Humanoid Sensing and Perception,Genoa,Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"MIT, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"Humanoid Sensing and Perception, Istituto Italiano di Tecnologia, Genoa, Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"IIT@MIT - Laboratory for Computational and Statistical Learning, IIT, Genoa, Italy","institution_ids":["https://openalex.org/I4210130157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052961865","display_name":"Raffaello Camoriano","orcid":"https://orcid.org/0000-0002-8890-2732"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]},{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]},{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IN","IT","US"],"is_corresponding":false,"raw_author_name":"Raffaello Camoriano","raw_affiliation_strings":["IIT,IIT@MIT - Laboratory for Computational and Statistical Learning,Genoa,Italy","MIT, Cambridge, MA, USA","IIT@MIT - Laboratory for Computational and Statistical Learning, IIT, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"IIT,IIT@MIT - Laboratory for Computational and Statistical Learning,Genoa,Italy","institution_ids":["https://openalex.org/I6498739"]},{"raw_affiliation_string":"MIT, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"IIT@MIT - Laboratory for Computational and Statistical Learning, IIT, Genoa, Italy","institution_ids":["https://openalex.org/I4210130157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048446378","display_name":"Giulia Pasquale","orcid":"https://orcid.org/0000-0002-7221-3553"},"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":"Giulia Pasquale","raw_affiliation_strings":["Istituto Italiano di Tecnologia,Humanoid Sensing and Perception,Genoa,Italy","Humanoid Sensing and Perception, Istituto Italiano di Tecnologia, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto Italiano di Tecnologia,Humanoid Sensing and Perception,Genoa,Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"Humanoid Sensing and Perception, Istituto Italiano di Tecnologia, 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":["Istituto Italiano di Tecnologia,iCub Tech,Genoa,Italy","iCub Tech, Istituto Italiano di Tecnologia, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto Italiano di Tecnologia,iCub Tech,Genoa,Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"iCub Tech, Istituto Italiano di Tecnologia, Genoa, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061220999","display_name":"Lorenzo Rosasco","orcid":"https://orcid.org/0000-0003-3098-383X"},"institutions":[{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]},{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["IN","IT","US"],"is_corresponding":false,"raw_author_name":"Lorenzo Rosasco","raw_affiliation_strings":["IIT,IIT@MIT - Laboratory for Computational and Statistical Learning,Genoa,Italy","IIT@MIT - Laboratory for Computational and Statistical Learning, IIT, Genoa, Italy","MIT, Cambridge, MA, USA","Center for Brains, Minds and Machines, MIT, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"IIT,IIT@MIT - Laboratory for Computational and Statistical Learning,Genoa,Italy","institution_ids":["https://openalex.org/I6498739"]},{"raw_affiliation_string":"IIT@MIT - Laboratory for Computational and Statistical Learning, IIT, Genoa, Italy","institution_ids":["https://openalex.org/I4210130157"]},{"raw_affiliation_string":"MIT, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"Center for Brains, Minds and Machines, MIT, Cambridge, MA, USA","institution_ids":[]}]},{"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":["Istituto Italiano di Tecnologia,Humanoid Sensing and Perception,Genoa,Italy","Humanoid Sensing and Perception, Istituto Italiano di Tecnologia, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto Italiano di Tecnologia,Humanoid Sensing and Perception,Genoa,Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"Humanoid Sensing and Perception, Istituto Italiano di Tecnologia, Genoa, Italy","institution_ids":["https://openalex.org/I30771326"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"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":0.10218703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"942","last_page":"949"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998000264167786,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.7964198589324951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7344979643821716},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6479296088218689},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.605568528175354},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.584640383720398},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.570968508720398},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5303764343261719},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5032703280448914},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4749232232570648},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4701899290084839},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.46235451102256775},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.4531649649143219},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.45057588815689087},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.44329750537872314},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39351269602775574},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20681926608085632},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1746043860912323}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7964198589324951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7344979643821716},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6479296088218689},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.605568528175354},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.584640383720398},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.570968508720398},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5303764343261719},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5032703280448914},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4749232232570648},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4701899290084839},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.46235451102256775},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.4531649649143219},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.45057588815689087},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.44329750537872314},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39351269602775574},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20681926608085632},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1746043860912323},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ro-man53752.2022.9900780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man53752.2022.9900780","pdf_url":null,"source":{"id":"https://openalex.org/S4363607995","display_name":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1505952289","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2115763357","https://openalex.org/W2164598857","https://openalex.org/W2171033594","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2357329924","https://openalex.org/W2601564443","https://openalex.org/W2746791238","https://openalex.org/W2757539224","https://openalex.org/W2783371331","https://openalex.org/W2783822844","https://openalex.org/W2794087413","https://openalex.org/W2910982074","https://openalex.org/W2948367246","https://openalex.org/W2950800384","https://openalex.org/W2951061410","https://openalex.org/W2962721361","https://openalex.org/W2963150697","https://openalex.org/W2963188159","https://openalex.org/W2963275963","https://openalex.org/W2963296333","https://openalex.org/W2963296620","https://openalex.org/W2963351448","https://openalex.org/W2964067969","https://openalex.org/W2964277612","https://openalex.org/W2965018546","https://openalex.org/W2984303785","https://openalex.org/W2989706229","https://openalex.org/W3005363112","https://openalex.org/W3010750023","https://openalex.org/W3011487966","https://openalex.org/W3011722050","https://openalex.org/W3018757597","https://openalex.org/W3034479523","https://openalex.org/W3036772641","https://openalex.org/W3091696636","https://openalex.org/W3097722521","https://openalex.org/W3106250896","https://openalex.org/W3120338137","https://openalex.org/W3174017534","https://openalex.org/W3205239412","https://openalex.org/W4287588947","https://openalex.org/W4298132949","https://openalex.org/W4301206708","https://openalex.org/W4362656200","https://openalex.org/W6620707391","https://openalex.org/W6639102338","https://openalex.org/W6677258307","https://openalex.org/W6687483927","https://openalex.org/W6714138976","https://openalex.org/W6738073237","https://openalex.org/W6758233323","https://openalex.org/W6763607942","https://openalex.org/W6764588566","https://openalex.org/W6766461993","https://openalex.org/W6767248091","https://openalex.org/W6770256190","https://openalex.org/W6777046832","https://openalex.org/W6779663168","https://openalex.org/W6786790245","https://openalex.org/W6850481583"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W4390721878"],"abstract_inverted_index":{"Deep":[0],"Learning":[1,71],"(DL)":[2],"based":[3],"methods":[4],"for":[5,145],"object":[6,46,218],"detection":[7,123,148,200,219],"achieve":[8],"remarkable":[9],"performance":[10,124],"at":[11,95],"the":[12,45,104,130,133,162,169],"cost":[13],"of":[14,47,76,106],"computationally":[15],"expensive":[16],"training":[17,35],"and":[18,63],"extensive":[19],"data":[20,36,55],"labeling.":[21],"Robots":[22],"embodiment":[23],"can":[24,171],"be":[25],"exploited":[26],"to":[27,66,78,114,121,150,174],"mitigate":[28],"this":[29,54,100],"burden":[30],"by":[31,128,178],"acquiring":[32],"automatically":[33],"annotated":[34],"via":[37],"a":[38,42,73,96,107,111,136,181],"natural":[39],"interaction":[40],"with":[41,80,135,180,187,207],"human":[43,138,182],"showing":[44],"interest,":[48],"hand-held.":[49],"However,":[50],"learning":[51],"solely":[52],"from":[53],"may":[56],"introduce":[57],"biases":[58],"(the":[59],"so-called":[60],"domain":[61,222],"shift),":[62],"prevents":[64],"adaptation":[65,173],"novel":[67,175],"tasks.":[68],"While":[69],"Weakly-supervised":[70],"offers":[72],"well-established":[74],"set":[75],"techniques":[77,144],"cope":[79],"these":[81],"problems":[82],"in":[83,89,110,125,147],"general-purpose":[84],"Computer":[85],"Vision,":[86],"its":[87],"adoption":[88],"challenging":[90,216],"robotic":[91,164,217],"domains":[92],"is":[93,120],"still":[94],"preliminary":[97],"stage.":[98],"In":[99],"work,":[101],"we":[102],"target":[103,161],"scenario":[105],"robot":[108,131,170],"trained":[109],"teacher-learner":[112],"setting":[113],"detect":[115],"handheld":[116],"objects.":[117],"The":[118],"aim":[119],"improve":[122,172],"different":[126],"settings":[127],"letting":[129],"explore":[132],"environment":[134],"limited":[137],"labeling":[139],"budget.":[140],"We":[141,166,193,210],"compare":[142],"several":[143],"WSL":[146],"pipelines":[149],"reduce":[151],"model":[152,204],"re-training":[153],"costs":[154],"without":[155],"compromising":[156],"accuracy,":[157],"proposing":[158],"solutions":[159],"which":[160],"considered":[163],"scenario.":[165],"show":[167],"that":[168],"domains,":[176],"either":[177],"interacting":[179],"teacher":[183],"(Active":[184],"Learning)":[185],"or":[186],"an":[188,198],"autonomous":[189],"supervision":[190],"(Semi-supervised":[191],"Learning).":[192],"integrate":[194],"our":[195,213],"strategies":[196],"into":[197],"on-line":[199],"method,":[201],"achieving":[202],"efficient":[203],"update":[205],"capabilities":[206],"few":[208],"labels.":[209],"experimentally":[211],"benchmark":[212],"method":[214],"on":[215],"tasks":[220],"under":[221],"shift":[223],"<sup":[224],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[225],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[226],".":[227]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
