{"id":"https://openalex.org/W3017784747","doi":"https://doi.org/10.1109/lra.2020.3007092","title":"Unsupervised Domain Adaptation Through Inter-Modal Rotation for RGB-D Object Recognition","display_name":"Unsupervised Domain Adaptation Through Inter-Modal Rotation for RGB-D Object Recognition","publication_year":2020,"publication_date":"2020-07-03","ids":{"openalex":"https://openalex.org/W3017784747","doi":"https://doi.org/10.1109/lra.2020.3007092","mag":"3017784747"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2020.3007092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2020.3007092","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.10016","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076976588","display_name":"Mohammad Reza Loghmani","orcid":"https://orcid.org/0000-0002-2687-7877"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammad Reza Loghmani","raw_affiliation_strings":["ACIN, Vision4Robotics Group, Vienna, Austria","[ACIN, Vision4Robotics Group, Vienna, Austria]"],"raw_orcid":"https://orcid.org/0000-0002-2687-7877","affiliations":[{"raw_affiliation_string":"ACIN, Vision4Robotics Group, Vienna, Austria","institution_ids":[]},{"raw_affiliation_string":"[ACIN, Vision4Robotics Group, Vienna, Austria]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057838136","display_name":"Luca Robbiano","orcid":"https://orcid.org/0000-0002-6032-6462"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]},{"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":"Luca Robbiano","raw_affiliation_strings":["VANDAL Laboratory, Politecnico di Torino and Italian Institute of Technology, Torino, Italy","[VANDAL Laboratory, Politecnico di Torino and Italian Institute of Technology, Torino, Italy]"],"raw_orcid":"https://orcid.org/0000-0002-6032-6462","affiliations":[{"raw_affiliation_string":"VANDAL Laboratory, Politecnico di Torino and Italian Institute of Technology, Torino, Italy","institution_ids":["https://openalex.org/I177477856","https://openalex.org/I30771326"]},{"raw_affiliation_string":"[VANDAL Laboratory, Politecnico di Torino and Italian Institute of Technology, Torino, Italy]","institution_ids":["https://openalex.org/I177477856","https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050757826","display_name":"Mirco Planamente","orcid":"https://orcid.org/0000-0001-7238-1867"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]},{"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":"Mirco Planamente","raw_affiliation_strings":["VANDAL Laboratory, Politecnico di Torino and Italian Institute of Technology, Torino, Italy","[VANDAL Laboratory, Politecnico di Torino and Italian Institute of Technology, Torino, Italy]"],"raw_orcid":"https://orcid.org/0000-0001-7238-1867","affiliations":[{"raw_affiliation_string":"VANDAL Laboratory, Politecnico di Torino and Italian Institute of Technology, Torino, Italy","institution_ids":["https://openalex.org/I177477856","https://openalex.org/I30771326"]},{"raw_affiliation_string":"[VANDAL Laboratory, Politecnico di Torino and Italian Institute of Technology, Torino, Italy]","institution_ids":["https://openalex.org/I177477856","https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054753271","display_name":"Kiru Park","orcid":"https://orcid.org/0000-0002-9891-4788"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kiru Park","raw_affiliation_strings":["ACIN, Vision4Robotics Group, Vienna, Austria","[ACIN, Vision4Robotics Group, Vienna, Austria]"],"raw_orcid":"https://orcid.org/0000-0002-9891-4788","affiliations":[{"raw_affiliation_string":"ACIN, Vision4Robotics Group, Vienna, Austria","institution_ids":[]},{"raw_affiliation_string":"[ACIN, Vision4Robotics Group, Vienna, Austria]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024757596","display_name":"Barbara Caputo","orcid":"https://orcid.org/0000-0001-7169-0158"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]},{"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":"Barbara Caputo","raw_affiliation_strings":["VANDAL Laboratory, Politecnico di Torino and Italian Institute of Technology, Torino, Italy","[VANDAL Laboratory, Politecnico di Torino and Italian Institute of Technology, Torino, Italy]"],"raw_orcid":"https://orcid.org/0000-0001-7169-0158","affiliations":[{"raw_affiliation_string":"VANDAL Laboratory, Politecnico di Torino and Italian Institute of Technology, Torino, Italy","institution_ids":["https://openalex.org/I177477856","https://openalex.org/I30771326"]},{"raw_affiliation_string":"[VANDAL Laboratory, Politecnico di Torino and Italian Institute of Technology, Torino, Italy]","institution_ids":["https://openalex.org/I177477856","https://openalex.org/I30771326"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013565399","display_name":"Markus Vincze","orcid":"https://orcid.org/0000-0002-2799-491X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Markus Vincze","raw_affiliation_strings":["ACIN, Vision4Robotics Group, Vienna, Austria","[ACIN, Vision4Robotics Group, Vienna, Austria]"],"raw_orcid":"https://orcid.org/0000-0002-2799-491X","affiliations":[{"raw_affiliation_string":"ACIN, Vision4Robotics Group, Vienna, Austria","institution_ids":[]},{"raw_affiliation_string":"[ACIN, Vision4Robotics Group, Vienna, Austria]","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04036546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"4","first_page":"6631","last_page":"6638"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9940999746322632,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.982699990272522,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7897192239761353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7887532114982605},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7448869347572327},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6227994561195374},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5719206929206848},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.555478572845459},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5118123888969421},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5066226124763489},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.48566925525665283},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4695701599121094},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4557686448097229},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.44834819436073303},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4355964660644531},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.42930692434310913},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41724878549575806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3859282433986664},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07846486568450928}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7897192239761353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7887532114982605},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7448869347572327},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6227994561195374},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5719206929206848},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.555478572845459},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5118123888969421},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5066226124763489},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.48566925525665283},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4695701599121094},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4557686448097229},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.44834819436073303},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4355964660644531},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.42930692434310913},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41724878549575806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3859282433986664},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07846486568450928},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/lra.2020.3007092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2020.3007092","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2004.10016","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.10016","pdf_url":"https://arxiv.org/pdf/2004.10016","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:3017784747","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2004.10016.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.2004.10016","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2004.10016","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:2004.10016","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.10016","pdf_url":"https://arxiv.org/pdf/2004.10016","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":[{"score":0.4399999976158142,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3017784747.pdf","grobid_xml":"https://content.openalex.org/works/W3017784747.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W1731081199","https://openalex.org/W1861492603","https://openalex.org/W1920022804","https://openalex.org/W2050361404","https://openalex.org/W2073700113","https://openalex.org/W2108598243","https://openalex.org/W2123045220","https://openalex.org/W2159291411","https://openalex.org/W2163605009","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2321533354","https://openalex.org/W2326925005","https://openalex.org/W2413439537","https://openalex.org/W2478454054","https://openalex.org/W2485516636","https://openalex.org/W2511131004","https://openalex.org/W2593768305","https://openalex.org/W2617027347","https://openalex.org/W2618530766","https://openalex.org/W2758703625","https://openalex.org/W2763549966","https://openalex.org/W2765731028","https://openalex.org/W2785325870","https://openalex.org/W2897482938","https://openalex.org/W2919909650","https://openalex.org/W2958360136","https://openalex.org/W2962808524","https://openalex.org/W2963032410","https://openalex.org/W2963275094","https://openalex.org/W2963420272","https://openalex.org/W2963773039","https://openalex.org/W2963901718","https://openalex.org/W2963956866","https://openalex.org/W2964126011","https://openalex.org/W2964159141","https://openalex.org/W2982204955","https://openalex.org/W3004023976","https://openalex.org/W3011972190","https://openalex.org/W3159890710","https://openalex.org/W6631711059","https://openalex.org/W6637618735","https://openalex.org/W6639102338","https://openalex.org/W6640300118","https://openalex.org/W6677995690","https://openalex.org/W6683633756","https://openalex.org/W6685415078","https://openalex.org/W6701655646","https://openalex.org/W6725448924","https://openalex.org/W6745213692","https://openalex.org/W6746282794","https://openalex.org/W6747899497","https://openalex.org/W6751866786"],"related_works":["https://openalex.org/W3040130969","https://openalex.org/W2806875556","https://openalex.org/W2891981873","https://openalex.org/W3126152110","https://openalex.org/W3162750720","https://openalex.org/W3001997710","https://openalex.org/W2940551606","https://openalex.org/W2592613168","https://openalex.org/W2963956866","https://openalex.org/W2905312384","https://openalex.org/W1961891967","https://openalex.org/W1573897183","https://openalex.org/W2860627718","https://openalex.org/W252643441","https://openalex.org/W2121573824","https://openalex.org/W3084387688","https://openalex.org/W2941724331","https://openalex.org/W3188739931","https://openalex.org/W2933023894","https://openalex.org/W182048296"],"abstract_inverted_index":{"Unsupervised":[0],"Domain":[1],"Adaptation":[2],"(DA)":[3],"exploits":[4],"the":[5,22,61,83,89,93,112,116,121,125,157,161],"supervision":[6],"of":[7,34,64,101,119,159],"a":[8,76,103],"label-rich":[9],"source":[10],"dataset":[11,19],"to":[12,31,44,58,107,111],"make":[13,45],"predictions":[14,47],"on":[15,48],"an":[16],"unlabeled":[17],"target":[18],"by":[20,87],"aligning":[21],"two":[23,143],"data":[24],"distributions.":[25],"In":[26],"robotics,":[27],"DA":[28,53,79],"is":[29,169],"used":[30,70],"take":[32],"advantage":[33],"automatically":[35],"generated":[36],"synthetic":[37],"data,":[38,66],"that":[39,81],"come":[40],"with":[41,60],"\u201cfree\u201d":[42],"annotation,":[43],"effective":[46],"real":[49],"data.":[50],"However,":[51],"existing":[52],"methods":[54],"are":[55,68],"not":[56],"designed":[57],"cope":[59],"multi-modal":[62],"nature":[63],"RGB-D":[65,78,165],"which":[67],"widely":[69],"in":[71,109,138],"robotic":[72],"vision.":[73],"We":[74],"propose":[75],"novel":[77],"method":[80,99,133],"reduces":[82],"synthetic-to-real":[84],"domain":[85],"shift":[86],"exploiting":[88],"inter-modal":[90,162],"relation":[91],"between":[92,124],"RGB":[94,126],"and":[95,127,134,149],"depth":[96,128],"image.":[97,129],"Our":[98],"consists":[100],"training":[102],"convolutional":[104],"neural":[105],"network":[106],"solve,":[108],"addition":[110],"main":[113],"recognition":[114],"task,":[115],"pretext":[117],"task":[118],"predicting":[120],"relative":[122],"rotation":[123],"To":[130],"evaluate":[131],"our":[132],"encourage":[135],"further":[136],"research":[137],"this":[139],"area,":[140],"we":[141,155],"define":[142],"benchmark":[144],"datasets":[145],"for":[146,164],"object":[147],"categorization":[148],"instance":[150],"recognition.":[151],"With":[152],"extensive":[153],"experiments,":[154],"show":[156],"benefits":[158],"leveraging":[160],"relations":[163],"DA.":[166],"The":[167],"code":[168],"available":[170],"at:":[171],"\u201chttps://github.com/MRLoghmani/relative-rotation\u201d.":[172]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}