{"id":"https://openalex.org/W3138226511","doi":"https://doi.org/10.1109/icra48506.2021.9561509","title":"F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning","display_name":"F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning","publication_year":2021,"publication_date":"2021-05-30","ids":{"openalex":"https://openalex.org/W3138226511","doi":"https://doi.org/10.1109/icra48506.2021.9561509","mag":"3138226511"},"language":"en","primary_location":{"id":"doi:10.1109/icra48506.2021.9561509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48506.2021.9561509","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 Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.12242","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112638284","display_name":"Ali Ayub","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Ayub","raw_affiliation_strings":["Department of Electrical Engineering, The Pennsylvania State University, State College, PA, USA","Pennsylvania State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, The Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045198429","display_name":"Alan R. Wagner","orcid":"https://orcid.org/0000-0002-7941-3814"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan R. Wagner","raw_affiliation_strings":["Department of Aerospace Engineering, The Pennsylvania State University, State College, PA, USA","Pennsylvania State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, The Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02965035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"78","issue":null,"first_page":"13496","last_page":"13502"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9979000091552734,"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":0.9944000244140625,"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":0.7614530920982361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.727014422416687},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7063508629798889},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.643572986125946},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6429556608200073},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6104652285575867},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6100826263427734},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.47137153148651123},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4610764980316162},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.46020811796188354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1850200593471527}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7614530920982361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.727014422416687},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7063508629798889},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.643572986125946},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6429556608200073},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6104652285575867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6100826263427734},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.47137153148651123},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4610764980316162},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.46020811796188354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1850200593471527},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icra48506.2021.9561509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48506.2021.9561509","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 Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2103.12242","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.12242","pdf_url":"https://arxiv.org/pdf/2103.12242","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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:3138226511","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2103.12242.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2103.12242","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2103.12242","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2103.12242","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.12242","pdf_url":"https://arxiv.org/pdf/2103.12242","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2005756025","https://openalex.org/W2026942141","https://openalex.org/W2117539524","https://openalex.org/W2134557905","https://openalex.org/W2156222070","https://openalex.org/W2194775991","https://openalex.org/W2473930607","https://openalex.org/W2560647685","https://openalex.org/W2599577839","https://openalex.org/W2884282566","https://openalex.org/W2963011558","https://openalex.org/W2963351448","https://openalex.org/W2963741406","https://openalex.org/W2964151081","https://openalex.org/W2964189064","https://openalex.org/W2970971581","https://openalex.org/W2982410595","https://openalex.org/W2996514457","https://openalex.org/W3043615800","https://openalex.org/W3043648611","https://openalex.org/W3047235076","https://openalex.org/W3047854701","https://openalex.org/W3094420064","https://openalex.org/W3118608800","https://openalex.org/W3128579476","https://openalex.org/W3131633620","https://openalex.org/W6637373629","https://openalex.org/W6737377802","https://openalex.org/W6758126075","https://openalex.org/W6766978945","https://openalex.org/W6774615226","https://openalex.org/W6780718617","https://openalex.org/W6781725879","https://openalex.org/W6784524850","https://openalex.org/W6787972765","https://openalex.org/W6788236791"],"related_works":["https://openalex.org/W3207824701","https://openalex.org/W3009393556","https://openalex.org/W2987002023","https://openalex.org/W2901013424","https://openalex.org/W2965976453","https://openalex.org/W3019510943","https://openalex.org/W2976736557","https://openalex.org/W3126485414","https://openalex.org/W2884656323","https://openalex.org/W3105502848","https://openalex.org/W3034911677","https://openalex.org/W2946882696","https://openalex.org/W3203266879","https://openalex.org/W3178686235","https://openalex.org/W2986975901","https://openalex.org/W2964105864","https://openalex.org/W3013644914","https://openalex.org/W3034451759","https://openalex.org/W2981535356","https://openalex.org/W2963845150"],"abstract_inverted_index":{"Deep":[0],"learning":[1,21,28,73,90,119,133,148],"has":[2],"achieved":[3],"remarkable":[4],"success":[5],"in":[6],"object":[7,64,89,118,147],"recognition":[8,65],"tasks":[9],"through":[10],"the":[11,144],"availability":[12],"of":[13,130],"large":[14],"scale":[15],"datasets":[16,66],"like":[17],"ImageNet.":[18],"However,":[19,61],"deep":[20],"systems":[22],"suffer":[23],"from":[24,56,91,155],"catastrophic":[25],"forgetting":[26],"when":[27],"incrementally":[29,41],"without":[30],"replaying":[31],"old":[32],"data.":[33],"For":[34],"real-world":[35],"applications,":[36],"robots":[37,47],"also":[38,125],"need":[39],"to":[40,70],"learn":[42,55],"new":[43,102],"objects.":[44],"Further,":[45,78],"since":[46],"have":[48],"limited":[49],"human":[50],"assistance":[51],"available,":[52],"they":[53],"must":[54],"only":[57],"a":[58,92,101],"few":[59,63,93],"examples.":[60,94],"very":[62],"and":[67,128],"benchmarks":[68,127],"exist":[69],"test":[71],"incremental":[72,88,117,132,146],"capability":[74,120],"for":[75,87,114,121,137,150],"robotic":[76,122,151],"vision.":[77,123],"there":[79],"is":[80,111,153],"no":[81],"dataset":[82,103],"or":[83],"benchmark":[84],"specifically":[85,112],"designed":[86],"To":[95],"fill":[96],"this":[97],"gap,":[98],"we":[99],"present":[100],"termed":[104],"F-SIOL-310":[105,136],"(Few-Shot":[106],"Incremental":[107],"Object":[108],"Learning)":[109],"which":[110],"captured":[113],"testing":[115],"few-shot":[116,145],"We":[124],"provide":[126],"evaluations":[129],"8":[131],"algorithms":[134],"on":[135],"future":[138],"comparisons.":[139],"Our":[140],"results":[141],"demonstrate":[142],"that":[143],"problem":[149],"vision":[152],"far":[154],"being":[156],"solved.":[157]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}