{"id":"https://openalex.org/W2998003188","doi":"https://doi.org/10.1109/tcsvt.2019.2963862","title":"Sketch Fewer to Recognize More by Learning a Co-Regularized Sparse Representation","display_name":"Sketch Fewer to Recognize More by Learning a Co-Regularized Sparse Representation","publication_year":2020,"publication_date":"2020-01-03","ids":{"openalex":"https://openalex.org/W2998003188","doi":"https://doi.org/10.1109/tcsvt.2019.2963862","mag":"2998003188"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2019.2963862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2963862","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5075315261","display_name":"Yonggang Qi","orcid":"https://orcid.org/0000-0001-8280-3541"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonggang Qi","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8280-3541","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046046128","display_name":"Yi-Zhe Song","orcid":"https://orcid.org/0000-0001-5908-3275"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yi-Zhe Song","raw_affiliation_strings":["SketchX Research Laboratory, Centre for Vision Speech and Signal Processing (CVSSP), University of Surrey, Guildford, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5908-3275","affiliations":[{"raw_affiliation_string":"SketchX Research Laboratory, Centre for Vision Speech and Signal Processing (CVSSP), University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4792,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.63637915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"30","issue":"12","first_page":"4849","last_page":"4860"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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":0.9962999820709229,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.8813265562057495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8467755317687988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5902010798454285},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5654149651527405},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5467627048492432},{"id":"https://openalex.org/keywords/sketch-recognition","display_name":"Sketch recognition","score":0.5423331260681152},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45951592922210693},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4462529122829437},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4438033401966095},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4205043315887451},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35833683609962463},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09215843677520752}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.8813265562057495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8467755317687988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5902010798454285},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5654149651527405},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5467627048492432},{"id":"https://openalex.org/C132900626","wikidata":"https://www.wikidata.org/wiki/Q7534733","display_name":"Sketch recognition","level":4,"score":0.5423331260681152},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45951592922210693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4462529122829437},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4438033401966095},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4205043315887451},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35833683609962463},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09215843677520752},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2019.2963862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2963862","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6000000238418579,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G289753174","display_name":null,"funder_award_id":"61601042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W150537169","https://openalex.org/W1972420097","https://openalex.org/W1991870281","https://openalex.org/W2027125558","https://openalex.org/W2027922120","https://openalex.org/W2050460554","https://openalex.org/W2052575990","https://openalex.org/W2078224292","https://openalex.org/W2113606819","https://openalex.org/W2115733720","https://openalex.org/W2117616929","https://openalex.org/W2121609805","https://openalex.org/W2128543433","https://openalex.org/W2129812935","https://openalex.org/W2137823674","https://openalex.org/W2148357922","https://openalex.org/W2151049637","https://openalex.org/W2153404544","https://openalex.org/W2194321275","https://openalex.org/W2401823607","https://openalex.org/W2472819217","https://openalex.org/W2493181180","https://openalex.org/W2496271548","https://openalex.org/W2583010282","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2606712314","https://openalex.org/W2748769660","https://openalex.org/W2776402438","https://openalex.org/W2889587173","https://openalex.org/W2953044442","https://openalex.org/W2962677366","https://openalex.org/W2962723986","https://openalex.org/W2962747232","https://openalex.org/W2963255320","https://openalex.org/W2963307918","https://openalex.org/W2963341924","https://openalex.org/W3101029400","https://openalex.org/W4245456352","https://openalex.org/W6676903177","https://openalex.org/W6713057566","https://openalex.org/W6717697761","https://openalex.org/W6720057410","https://openalex.org/W6732703391","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6736562241","https://openalex.org/W6751281049","https://openalex.org/W6751702825","https://openalex.org/W6754700304","https://openalex.org/W6765549164"],"related_works":["https://openalex.org/W2294900353","https://openalex.org/W2411243951","https://openalex.org/W2151314278","https://openalex.org/W1971224820","https://openalex.org/W13629514","https://openalex.org/W2963977451","https://openalex.org/W2098836165","https://openalex.org/W1976890290","https://openalex.org/W1573697454","https://openalex.org/W2966897482"],"abstract_inverted_index":{"Categorizing":[0],"free-hand":[1],"human":[2,11,125],"sketches":[3,67,73,126,150],"has":[4],"profound":[5],"implications":[6],"in":[7,32],"applications":[8,64],"such":[9],"as":[10],"computer":[12],"interaction":[13],"and":[14,35,175],"image":[15],"retrieval.":[16],"The":[17,111],"task":[18],"is":[19,56,113,154],"non-trivial":[20],"due":[21],"to":[22,70,75,93,157],"the":[23,49,86,97],"iconic":[24],"nature":[25],"of":[26,51,101,123,146,151,173],"sketches,":[27],"signified":[28],"by":[29,45,79,104],"large":[30,53],"variances":[31],"both":[33],"appearance":[34],"structure":[36],"when":[37],"compared":[38],"with":[39],"photographs.":[40],"Despite":[41],"recent":[42],"advances":[43],"made":[44],"deep":[46],"learning":[47],"methods,":[48],"requirement":[50],"a":[52,106,116,135],"training":[54,66],"set":[55],"commonly":[57],"imposed":[58],"making":[59],"them":[60],"impractical":[61],"for":[62,140],"real-world":[63],"where":[65,120],"are":[68,127],"cumbersome":[69],"obtain":[71],"-":[72],"have":[74],"be":[76],"hand-drawn":[77],"one":[78,80],"other":[81],"than":[82],"crawled":[83],"freely":[84],"on":[85,115],"Internet.":[87],"In":[88],"this":[89],"work,":[90],"we":[91],"aim":[92],"delve":[94],"further":[95],"into":[96,134],"data":[98],"scarcity":[99],"problem":[100],"sketch-related":[102],"research,":[103],"proposing":[105],"few-shot":[107,141],"sketch":[108,133],"classification":[109,171],"framework.":[110],"model":[112],"based":[114],"co-regularized":[117,136],"embedding":[118],"algorithm":[119],"common/shareable":[121],"parts":[122],"learned":[124],"exploited,":[128],"thereby":[129],"can":[130,166],"embed":[131],"query":[132],"sparse":[137],"representation":[138],"space":[139],"classification.":[142],"A":[143],"new":[144],"dataset":[145],"8,000":[147],"part-level":[148],"annotated":[149],"100":[152],"categories":[153],"also":[155],"proposed":[156],"facilitate":[158],"future":[159],"research.":[160],"Experiment":[161],"shows":[162],"that":[163],"our":[164],"approach":[165],"achieve":[167],"an":[168],"5-way":[169],"one-shot":[170,177],"accuracy":[172],"85%,":[174],"20-way":[176],"at":[178],"51%.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
