{"id":"https://openalex.org/W2890889139","doi":"https://doi.org/10.1109/icip.2018.8451288","title":"Sketchpointnet: A Compact Network for Robust Sketch Recognition","display_name":"Sketchpointnet: A Compact Network for Robust Sketch Recognition","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890889139","doi":"https://doi.org/10.1109/icip.2018.8451288","mag":"2890889139"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5047146848","display_name":"Xiangxiang Wang","orcid":"https://orcid.org/0000-0001-9341-1068"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangxiang Wang","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088031350","display_name":"Xuejin Chen","orcid":"https://orcid.org/0000-0003-0478-7018"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejin Chen","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003217535","display_name":"Zheng-Jun Zha","orcid":"https://orcid.org/0000-0003-2510-8993"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengjun Zha","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047146848"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":4.4358,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93899079,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2994","last_page":"2998"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.994700014591217,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.994700014591217,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9909999966621399,"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":0.8927585482597351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8076657652854919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6474140882492065},{"id":"https://openalex.org/keywords/sketch-recognition","display_name":"Sketch recognition","score":0.6149230003356934},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6117530465126038},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.55681312084198},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.5333222150802612},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.525425910949707},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5136799216270447},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4961281716823578},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4839642345905304},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38664743304252625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13019639253616333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08565318584442139}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.8927585482597351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8076657652854919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6474140882492065},{"id":"https://openalex.org/C132900626","wikidata":"https://www.wikidata.org/wiki/Q7534733","display_name":"Sketch recognition","level":4,"score":0.6149230003356934},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6117530465126038},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.55681312084198},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.5333222150802612},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.525425910949707},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5136799216270447},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4961281716823578},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4839642345905304},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38664743304252625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13019639253616333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08565318584442139},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1503798456","https://openalex.org/W1972420097","https://openalex.org/W1976664910","https://openalex.org/W2048568806","https://openalex.org/W2082472820","https://openalex.org/W2125635584","https://openalex.org/W2136404418","https://openalex.org/W2142229279","https://openalex.org/W2463931728","https://openalex.org/W2560609797","https://openalex.org/W2963121255","https://openalex.org/W4240256148","https://openalex.org/W4242487477","https://openalex.org/W6630195098","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W2294900353","https://openalex.org/W2411243951","https://openalex.org/W2151314278","https://openalex.org/W13629514","https://openalex.org/W1971224820","https://openalex.org/W2963977451","https://openalex.org/W2098836165","https://openalex.org/W1976890290","https://openalex.org/W1573697454","https://openalex.org/W2966897482"],"abstract_inverted_index":{"Sketch":[0,27],"recognition":[1],"is":[2,69],"a":[3,13,18,44],"challenging":[4,84],"image":[5],"processing":[6],"task.":[7],"In":[8],"this":[9],"paper,":[10],"we":[11],"propose":[12],"novel":[14],"point-based":[15],"network":[16,92],"with":[17,75],"compact":[19,71],"architecture,":[20],"named":[21],"SketchPointNet,":[22],"for":[23],"robust":[24],"sketch":[25],"recognition.":[26],"features":[28],"are":[29],"hierarchically":[30],"learned":[31],"from":[32],"three":[33],"mini":[34],"PointNets,":[35],"by":[36],"successively":[37],"sampling":[38,58],"and":[39,51,59,72],"grouping":[40],"2D":[41],"points":[42],"in":[43,54],"bottom-up":[45],"fashion.":[46],"SketchPointNet":[47,78],"exploits":[48],"both":[49],"temporal":[50],"spatial":[52],"context":[53],"strokes":[55],"during":[56],"point":[57],"grouping.":[60],"By":[61],"directly":[62],"consuming":[63],"the":[64,83,91],"sparse":[65],"points,":[66],"SketchPointN":[67],"et":[68],"very":[70],"efficient.":[73],"Compared":[74],"state-of-the-art":[76],"techniques,":[77],"achieves":[79],"comparable":[80],"performance":[81],"on":[82],"TU-Berlin":[85],"dataset":[86],"while":[87],"it":[88],"significantly":[89],"reduces":[90],"size.":[93]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}