{"id":"https://openalex.org/W4298128073","doi":"https://doi.org/10.1109/ro-man53752.2022.9900768","title":"Salient Keypoints for Interactive Meta-Learning (SKIML)","display_name":"Salient Keypoints for Interactive Meta-Learning (SKIML)","publication_year":2022,"publication_date":"2022-08-29","ids":{"openalex":"https://openalex.org/W4298128073","doi":"https://doi.org/10.1109/ro-man53752.2022.9900768"},"language":"en","primary_location":{"id":"doi:10.1109/ro-man53752.2022.9900768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man53752.2022.9900768","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/A5057830486","display_name":"Wallace Lawson","orcid":"https://orcid.org/0000-0002-6139-7959"},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wallace Lawson","raw_affiliation_strings":["US Naval Research Laboratory,Washington,DC,USA","US Naval Research Laboratory, Washington, DC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"US Naval Research Laboratory,Washington,DC,USA","institution_ids":["https://openalex.org/I1288214837"]},{"raw_affiliation_string":"US Naval Research Laboratory, Washington, DC, USA","institution_ids":["https://openalex.org/I1288214837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070295897","display_name":"Anthony M. Harrison","orcid":"https://orcid.org/0000-0001-5651-6004"},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony Harrison","raw_affiliation_strings":["US Naval Research Laboratory,Washington,DC,USA","US Naval Research Laboratory, Washington, DC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"US Naval Research Laboratory,Washington,DC,USA","institution_ids":["https://openalex.org/I1288214837"]},{"raw_affiliation_string":"US Naval Research Laboratory, Washington, DC, USA","institution_ids":["https://openalex.org/I1288214837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110757716","display_name":"Mai Lee Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mai Lee Chang","raw_affiliation_strings":["University of Texas at Austin,Austin,TX,USA","University of Texas at Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034117895","display_name":"William Adams","orcid":"https://orcid.org/0000-0002-7776-4274"},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Adams","raw_affiliation_strings":["US Naval Research Laboratory,Washington,DC,USA","US Naval Research Laboratory, Washington, DC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"US Naval Research Laboratory,Washington,DC,USA","institution_ids":["https://openalex.org/I1288214837"]},{"raw_affiliation_string":"US Naval Research Laboratory, Washington, DC, USA","institution_ids":["https://openalex.org/I1288214837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056412737","display_name":"J. Gregory Trafton","orcid":"https://orcid.org/0000-0001-5048-6780"},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Gregory Trafton","raw_affiliation_strings":["US Naval Research Laboratory,Washington,DC,USA","US Naval Research Laboratory, Washington, DC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"US Naval Research Laboratory,Washington,DC,USA","institution_ids":["https://openalex.org/I1288214837"]},{"raw_affiliation_string":"US Naval Research Laboratory, Washington, DC, USA","institution_ids":["https://openalex.org/I1288214837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10787172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1554","last_page":"1561"},"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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":0.8194974064826965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7136310338973999},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7070059776306152},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5881794095039368},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5573583245277405},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5326331257820129},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.5080475807189941},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.49178317189216614},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.46982836723327637},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.44624724984169006},{"id":"https://openalex.org/keywords/learning-object","display_name":"Learning object","score":0.4438047409057617},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41740158200263977},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.41331225633621216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08071514964103699},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0686589777469635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8194974064826965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7136310338973999},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7070059776306152},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5881794095039368},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5573583245277405},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5326331257820129},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.5080475807189941},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.49178317189216614},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.46982836723327637},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.44624724984169006},{"id":"https://openalex.org/C2779542340","wikidata":"https://www.wikidata.org/wiki/Q1062461","display_name":"Learning object","level":2,"score":0.4438047409057617},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41740158200263977},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.41331225633621216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08071514964103699},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0686589777469635},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C89423630","wikidata":"https://www.wikidata.org/wiki/Q7193","display_name":"Microbiology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ro-man53752.2022.9900768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man53752.2022.9900768","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W154226214","https://openalex.org/W907995911","https://openalex.org/W1853921792","https://openalex.org/W1861492603","https://openalex.org/W1934890906","https://openalex.org/W2005756025","https://openalex.org/W2023432353","https://openalex.org/W2108598243","https://openalex.org/W2143427281","https://openalex.org/W2156030192","https://openalex.org/W2194775991","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2745881055","https://openalex.org/W2753160622","https://openalex.org/W2772872288","https://openalex.org/W2789923753","https://openalex.org/W2910332578","https://openalex.org/W2962730651","https://openalex.org/W2963037989","https://openalex.org/W2963070905","https://openalex.org/W2963341924","https://openalex.org/W2963689319","https://openalex.org/W2963741406","https://openalex.org/W2983156430","https://openalex.org/W3006949615","https://openalex.org/W3011978462","https://openalex.org/W3016840912","https://openalex.org/W3034858314","https://openalex.org/W3097337310","https://openalex.org/W3163842339","https://openalex.org/W4287671529","https://openalex.org/W6606221816","https://openalex.org/W6624454233","https://openalex.org/W6628973269","https://openalex.org/W6639102338","https://openalex.org/W6683207662","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6743661861","https://openalex.org/W6756633688","https://openalex.org/W6756851690","https://openalex.org/W6758126075","https://openalex.org/W6774983715","https://openalex.org/W6776331362","https://openalex.org/W6840720034"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W4394266730","https://openalex.org/W1990856605","https://openalex.org/W2053783616","https://openalex.org/W2545348020","https://openalex.org/W2912751582"],"abstract_inverted_index":{"Learning":[0],"to":[1,22,34,45,54,68,71],"recognize":[2],"new":[3],"objects":[4],"in":[5,8,37],"real":[6],"time":[7],"unconstrained":[9],"environments":[10],"presents":[11],"significant":[12],"challenges":[13],"for":[14],"robotic":[15],"platforms.":[16],"We":[17,76],"present":[18],"a":[19,28,59,69],"meta-learning":[20],"solution":[21,41],"this":[23,38],"problem":[24],"as":[25,27],"well":[26],"registered":[29],"image":[30],"and":[31,49,83],"events":[32],"dataset":[33],"facilitate":[35],"work":[36],"domain.":[39],"Our":[40],"uses":[42],"interactive":[43,81],"motion":[44],"isolate":[46],"the":[47,73],"object,":[48],"motion-based":[50],"saliency":[51],"(from":[52],"events)":[53],"select":[55],"relevant":[56],"keypoints":[57,64],"from":[58],"high-resolution":[60],"RGB":[61],"image.":[62],"Salient":[63],"are":[65],"then":[66],"passed":[67],"meta-learner":[70],"classify":[72],"object":[74],"type.":[75],"show":[77],"that":[78],"using":[79],"our":[80],"isolation":[82],"keypoint":[84],"selection":[85],"approach,":[86],"we":[87],"outperform":[88],"existing":[89],"techniques":[90],"by":[91],"6-20%.":[92]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}