{"id":"https://openalex.org/W1964894309","doi":"https://doi.org/10.1145/2037826.2037865","title":"Learning to classify human object sketches","display_name":"Learning to classify human object sketches","publication_year":2011,"publication_date":"2011-08-07","ids":{"openalex":"https://openalex.org/W1964894309","doi":"https://doi.org/10.1145/2037826.2037865","mag":"1964894309"},"language":"en","primary_location":{"id":"doi:10.1145/2037826.2037865","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2037826.2037865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2011 Talks","raw_type":"proceedings-article"},"type":"conference-paper","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/A5046454436","display_name":"Mathias Eitz","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mathias Eitz","raw_affiliation_strings":["TU Berlin","[TU- Berlin]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Berlin","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"[TU- Berlin]","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016775802","display_name":"James Hays","orcid":"https://orcid.org/0000-0001-7016-4252"},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Hays","raw_affiliation_strings":["Brown University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brown University","institution_ids":["https://openalex.org/I175594653"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.994700014591217,"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/sketch","display_name":"Sketch","score":0.8509771823883057},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.824796199798584},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7259207963943481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6474071145057678},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6423249244689941},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5690560340881348},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5003979206085205},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4723806381225586},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4581356346607208},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37891191244125366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33850985765457153},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3271758556365967}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.8509771823883057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.824796199798584},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7259207963943481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6474071145057678},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6423249244689941},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5690560340881348},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5003979206085205},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4723806381225586},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4581356346607208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37891191244125366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33850985765457153},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3271758556365967},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2037826.2037865","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2037826.2037865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2011 Talks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.44999998807907104,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2131846894","https://openalex.org/W2153404544"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2378679551","https://openalex.org/W3149739944","https://openalex.org/W2392363776","https://openalex.org/W2063051341","https://openalex.org/W2591066345","https://openalex.org/W2357114597","https://openalex.org/W2115416187"],"abstract_inverted_index":{"We":[0,13,56,76],"present":[1],"ongoing":[2],"work":[3],"on":[4,65],"object":[5,22],"category":[6,88],"recognition":[7],"from":[8],"binary":[9],"human":[10,49],"outline":[11],"sketches.":[12],"first":[14],"define":[15],"a":[16,38,44,96],"novel":[17,71],"set":[18],"of":[19,28,46],"187":[20],"\"sketchable\"":[21],"categories":[23],"by":[24,59],"extracting":[25],"the":[26,29,34],"labels":[27],"most":[30],"frequent":[31],"objects":[32],"in":[33,79],"LabelMe":[35],"dataset.":[36],"In":[37],"large-scale":[39],"experiment,":[40],"we":[41,68],"then":[42],"gather":[43],"dataset":[45],"over":[47,53],"5,500":[48],"sketches,":[50],"evenly":[51],"distributed":[52],"all":[54],"categories.":[55],"show":[57],"that":[58,84],"training":[60],"multi-class":[61],"support":[62],"vector":[63],"machines":[64],"this":[66,78],"dataset,":[67],"can":[69],"classify":[70],"sketches":[72],"with":[73],"high":[74],"accuracy.":[75],"demonstrate":[77],"an":[80],"inter-active":[81],"sketching":[82],"application":[83],"progressively":[85],"updates":[86],"its":[87],"prediction":[89],"as":[90],"users":[91],"add":[92],"more":[93],"strokes":[94],"to":[95],"sketch.":[97]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}