{"id":"https://openalex.org/W4206938644","doi":"https://doi.org/10.1109/access.2022.3146247","title":"Self-Supervised Segmentation for Terracotta Warrior Point Cloud (EGG-Net)","display_name":"Self-Supervised Segmentation for Terracotta Warrior Point Cloud (EGG-Net)","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4206938644","doi":"https://doi.org/10.1109/access.2022.3146247"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3146247","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3146247","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09691380.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09691380.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yao Hu","orcid":"https://orcid.org/0000-0002-4611-1983"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Hu","raw_affiliation_strings":["School of Information Science and Technology, Northwest University, Xi&#x2019;an, China","School of Information Science and Technology, Northwest University, Xi&#x2019","an, China"],"raw_orcid":"https://orcid.org/0000-0002-4611-1983","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi&#x2019","institution_ids":[]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050842662","display_name":"Guohua Geng","orcid":"https://orcid.org/0000-0002-4234-2119"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohua Geng","raw_affiliation_strings":["School of Information Science and Technology, Northwest University, Xi&#x2019;an, China","School of Information Science and Technology, Northwest University, Xi&#x2019","an, China"],"raw_orcid":"https://orcid.org/0000-0002-4234-2119","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi&#x2019","institution_ids":[]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100786691","display_name":"Kang Li","orcid":"https://orcid.org/0000-0001-6218-5715"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Li","raw_affiliation_strings":["School of Information Science and Technology, Northwest University, Xi&#x2019;an, China","School of Information Science and Technology, Northwest University, Xi&#x2019","an, China"],"raw_orcid":"https://orcid.org/0000-0001-6218-5715","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi&#x2019","institution_ids":[]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112572682","display_name":"Bao Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao Guo","raw_affiliation_strings":["School of Information Science and Technology, Northwest University, Xi&#x2019;an, China","School of Information Science and Technology, Northwest University, Xi&#x2019","an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi&#x2019","institution_ids":[]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111120771","display_name":"Pengbo Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengbo Zhou","raw_affiliation_strings":["School of Arts and Communication, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Arts and Communication, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.746,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7121811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"10","issue":null,"first_page":"12374","last_page":"12384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7947962284088135},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7727541327476501},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6477242112159729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5680580735206604},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49947118759155273},{"id":"https://openalex.org/keywords/terracotta","display_name":"Terracotta","score":0.44223490357398987},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41640329360961914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35924363136291504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3413912057876587},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.12325522303581238}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7947962284088135},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7727541327476501},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6477242112159729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5680580735206604},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49947118759155273},{"id":"https://openalex.org/C2779201679","wikidata":"https://www.wikidata.org/wiki/Q60424","display_name":"Terracotta","level":2,"score":0.44223490357398987},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41640329360961914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35924363136291504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3413912057876587},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.12325522303581238},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3146247","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3146247","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09691380.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:161eab5a471e459f9d2323179959463c","is_oa":true,"landing_page_url":"https://doaj.org/article/161eab5a471e459f9d2323179959463c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 12374-12384 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3146247","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3146247","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09691380.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2100123866","display_name":null,"funder_award_id":"2020YFC1523303","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2308778187","display_name":"\u7834\u635f\u9676\u8d28\u6587\u7269\u6570\u5b57\u51e0\u4f55\u865a\u62df\u590d\u539f\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61731015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2999609096","display_name":null,"funder_award_id":"61731015","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4017031819","display_name":null,"funder_award_id":"2019ZDLSF07-02","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4705552603","display_name":null,"funder_award_id":"2019ZDLSF07-02","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G5009709544","display_name":null,"funder_award_id":"2020YFC1523301","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G708789216","display_name":null,"funder_award_id":"2019YFC1521103","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7571100097","display_name":null,"funder_award_id":"2019ZDLGY10-01","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G782478783","display_name":null,"funder_award_id":"2019ZDLGY10-01","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4206938644.pdf","grobid_xml":"https://content.openalex.org/works/W4206938644.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1964365496","https://openalex.org/W1965680834","https://openalex.org/W2001424961","https://openalex.org/W2057658876","https://openalex.org/W2067016646","https://openalex.org/W2081750044","https://openalex.org/W2088157800","https://openalex.org/W2118246710","https://openalex.org/W2120480077","https://openalex.org/W2130325614","https://openalex.org/W2152864241","https://openalex.org/W2560609797","https://openalex.org/W2585645159","https://openalex.org/W2609946960","https://openalex.org/W2614059183","https://openalex.org/W2763729730","https://openalex.org/W2795014656","https://openalex.org/W2796426482","https://openalex.org/W2798297823","https://openalex.org/W2801780873","https://openalex.org/W2810641456","https://openalex.org/W2960986959","https://openalex.org/W2962912109","https://openalex.org/W2963046128","https://openalex.org/W2963182550","https://openalex.org/W2963231572","https://openalex.org/W2963333168","https://openalex.org/W2979750740","https://openalex.org/W2989673842","https://openalex.org/W3003437478","https://openalex.org/W3010797203","https://openalex.org/W3042615550","https://openalex.org/W3045414484","https://openalex.org/W3099193570","https://openalex.org/W3132863460","https://openalex.org/W3133812613","https://openalex.org/W3184641956","https://openalex.org/W4297733535","https://openalex.org/W6618372016","https://openalex.org/W6676071220","https://openalex.org/W6736894448","https://openalex.org/W6739778489","https://openalex.org/W6753266022"],"related_works":["https://openalex.org/W4388784813","https://openalex.org/W4401617462","https://openalex.org/W3015527318","https://openalex.org/W2271012667","https://openalex.org/W2289602446","https://openalex.org/W2621162386","https://openalex.org/W2048504135","https://openalex.org/W2760878395","https://openalex.org/W4399442168","https://openalex.org/W2114282491"],"abstract_inverted_index":{"At":[0],"present,":[1,67],"our":[2,90,146,284],"team":[3],"focuses":[4,121],"on":[5,122,145,180,202,264],"cultural":[6],"relics":[7],"restoration":[8],"and":[9,44,54,126,137,167,183,209,246,269,276],"fragment":[10,27],"splicing":[11],"research.":[12,38],"In":[13],"the":[14,24,49,63,103,138,211,215,224,230,235,243,250,258,265,274,277,287],"research":[15,119],"process":[16],"of":[17,48,71,111,170],"terracotta":[18,51,104,147,266],"warrior":[19,52,105,148,267],"splicing,":[20],"we":[21,40,58,68,75,94,154,218],"find":[22,131],"that":[23,283],"existing":[25,115,139],"calibrated":[26,112],"data":[28,53,57,268],"is":[29,33,162,176,200],"relatively":[30],"small,":[31],"which":[32,240],"not":[34,142],"enough":[35,132],"for":[36],"related":[37],"Therefore,":[39,93,150],"need":[41,59],"to":[42,60,77,89,96,100,134,157,207,223],"calibrate":[43,102],"segment":[45],"different":[46],"parts":[47],"intact":[50],"extract":[55,188],"some":[56],"use":[61],"in":[62,151],"future.":[64],"However,":[65],"at":[66],"are":[69],"short":[70],"human":[72],"resources.":[73],"If":[74],"want":[76],"carry":[78],"out":[79],"manual":[80],"calibration,":[81],"it":[82,168],"will":[83],"take":[84],"much":[85],"time,":[86],"bringing":[87],"trouble":[88],"future":[91],"work.":[92],"hope":[95],"design":[97],"a":[98,108],"method":[99],"automatically":[101],"dataset":[106],"with":[107,192,238,257],"small":[109],"amount":[110],"data.":[113],"The":[114,173,195,279],"3D":[116],"neural":[117,216,236,251],"network":[118,237],"mainly":[120],"supervised":[123],"classification,":[124],"segmentation,":[125],"unsupervised":[127],"reconstruction.":[128],"We":[129,186,261],"cannot":[130],"schemes":[133],"refer":[135],"to,":[136],"methods":[140],"do":[141],"perform":[143],"well":[144],"dataset.":[149],"this":[152,159,193],"article,":[153],"propose":[155],"EGG-Net":[156,161,254,263,285],"solve":[158],"problem.":[160],"an":[163,177],"end-to-end":[164],"self-supervised":[165],"model,":[166],"consists":[169],"two":[171],"modules.":[172],"first":[174],"module":[175],"encoder":[178],"based":[179,201],"dynamic":[181],"graph":[182],"edge":[184],"convolution.":[185],"can":[187,228,241,255],"point":[189,212,220],"cloud":[190],"features":[191],"module.":[194],"second":[196],"module,":[197],"called":[198],"segmenter,":[199],"multi-layer":[203],"perceptron,":[204],"adding":[205],"labels":[206],"points":[208],"segmenting":[210],"cloud.":[213],"After":[214],"network,":[217],"add":[219],"refinement":[221,227,259],"operation":[222],"pipeline.":[225],"Point":[226],"adjust":[229],"cluster":[231],"label":[232],"estimated":[233],"by":[234,272],"superpoint,":[239],"optimize":[242],"loss":[244],"function":[245],"help":[247],"us":[248],"train":[249],"network.":[252],"Our":[253],"back-propagate":[256],"operation.":[260],"evaluated":[262],"ShapeNet":[270],"Part":[271],"measuring":[273],"accuracy":[275],"latency.":[278],"experiment":[280],"result":[281],"shows":[282],"outperforms":[286],"state-of-the-art":[288],"methods.":[289]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
