{"id":"https://openalex.org/W2903842350","doi":"https://doi.org/10.1109/iros.2018.8594165","title":"Persistent Anytime Learning of Objects from Unseen Classes","display_name":"Persistent Anytime Learning of Objects from Unseen Classes","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2903842350","doi":"https://doi.org/10.1109/iros.2018.8594165","mag":"2903842350"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2018.8594165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8594165","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5020186201","display_name":"Maximilian Denninger","orcid":"https://orcid.org/0000-0002-1557-2234"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Maximilian Denninger","raw_affiliation_strings":["Dep. of Perception and Cognition, German Aerospace Center (DLR), Oberpfaffenhofen, Germany"],"affiliations":[{"raw_affiliation_string":"Dep. of Perception and Cognition, German Aerospace Center (DLR), Oberpfaffenhofen, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050478468","display_name":"Rudolph Triebel","orcid":"https://orcid.org/0000-0002-7975-036X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rudolph Triebel","raw_affiliation_strings":["Department of Computer Science, Technical University of Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020186201"],"corresponding_institution_ids":["https://openalex.org/I2898391981"],"apc_list":null,"apc_paid":null,"fwci":0.8461,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81103072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"110","issue":null,"first_page":"4075","last_page":"4082"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9969000220298767,"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":0.8277548551559448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6660118103027344},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5954927802085876},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.5600012540817261},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5232847332954407},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.50870281457901},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5043219327926636},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4755534827709198},{"id":"https://openalex.org/keywords/interrupt","display_name":"Interrupt","score":0.46691372990608215},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4543953239917755},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.42757201194763184},{"id":"https://openalex.org/keywords/semantic-mapping","display_name":"Semantic mapping","score":0.4245317578315735},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4234347343444824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8277548551559448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6660118103027344},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5954927802085876},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.5600012540817261},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5232847332954407},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.50870281457901},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5043219327926636},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4755534827709198},{"id":"https://openalex.org/C41661131","wikidata":"https://www.wikidata.org/wiki/Q220764","display_name":"Interrupt","level":3,"score":0.46691372990608215},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4543953239917755},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.42757201194763184},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.4245317578315735},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4234347343444824},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"score":0.0},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros.2018.8594165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8594165","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:123987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8594165>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1573897183","https://openalex.org/W1600199800","https://openalex.org/W1819522214","https://openalex.org/W1963934847","https://openalex.org/W2068714596","https://openalex.org/W2097523548","https://openalex.org/W2103394661","https://openalex.org/W2115733720","https://openalex.org/W2156222070","https://openalex.org/W2159187228","https://openalex.org/W2162152641","https://openalex.org/W2194775991","https://openalex.org/W2220384803","https://openalex.org/W2416374163","https://openalex.org/W2592340788","https://openalex.org/W2596142952","https://openalex.org/W2756154119","https://openalex.org/W2911964244","https://openalex.org/W2951454365","https://openalex.org/W3198470706","https://openalex.org/W4240200084","https://openalex.org/W6638250416","https://openalex.org/W6674809721","https://openalex.org/W6683167515","https://openalex.org/W7053126446"],"related_works":["https://openalex.org/W4288898221","https://openalex.org/W2358308054","https://openalex.org/W2109690896","https://openalex.org/W2391783641","https://openalex.org/W4231875098","https://openalex.org/W4230529130","https://openalex.org/W2391365542","https://openalex.org/W2361731841","https://openalex.org/W2386367690","https://openalex.org/W2889302474"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,29,63,79,92,112],"fast":[3,94],"and":[4,21,77,95,131],"very":[5,93],"effective":[6],"method":[7,70,90],"for":[8,15,82,120],"object":[9],"classification":[10,141],"that":[11,33,43],"is":[12,26,71],"particularly":[13],"suited":[14],"robotic":[16,121],"applications":[17,122],"such":[18],"as":[19,98,100],"grasping":[20],"semantic":[22,44],"mapping.":[23],"Our":[24],"approach":[25,130],"based":[27],"on":[28,117],"Random":[30],"Forest":[31],"classifier":[32],"can":[34,50],"be":[35,51],"trained":[36],"incrementally.":[37],"This":[38],"has":[39],"the":[40,55,101,105,124],"major":[41],"benefit":[42],"information":[45],"from":[46,62],"new":[47,60,84],"data":[48,119],"samples":[49,61],"incorporated":[52],"without":[53,111],"retraining":[54],"entire":[56],"model.":[57],"Even":[58],"if":[59],"previously":[64],"unseen":[65],"class":[66],"are":[67],"presented,":[68],"our":[69,89,128],"able":[72],"to":[73,103],"perform":[74],"efficient":[75],"updates":[76],"learn":[78],"sustainable":[80],"representation":[81],"this":[83],"class.":[85],"Further":[86],"features":[87],"of":[88,127,140],"include":[91],"memory-efficient":[96],"implementation,":[97],"well":[99],"ability":[102],"interrupt":[104],"learning":[106],"process":[107],"at":[108],"any":[109],"time":[110],"significant":[113],"performance":[114],"degradation.":[115],"Experiments":[116],"benchmark":[118],"show":[123],"clear":[125],"benefits":[126],"incremental":[129],"its":[132],"competitiveness":[133],"with":[134],"standard":[135],"offline":[136],"methods":[137],"in":[138],"terms":[139],"accuracy.":[142]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}