{"id":"https://openalex.org/W3214519871","doi":"https://doi.org/10.1109/iciscae52414.2021.9590642","title":"Deep Self-Supervised Learning for Oracle Bone Inscriptions Features Representation","display_name":"Deep Self-Supervised Learning for Oracle Bone Inscriptions Features Representation","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W3214519871","doi":"https://doi.org/10.1109/iciscae52414.2021.9590642","mag":"3214519871"},"language":"en","primary_location":{"id":"doi:10.1109/iciscae52414.2021.9590642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae52414.2021.9590642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","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/A5112705125","display_name":"Bingxin Du","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117382","display_name":"Anyang Normal University","ror":"https://ror.org/02g9nss57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingxin Du","raw_affiliation_strings":["School of Media and Communications Anyang Normal University, Anyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Media and Communications Anyang Normal University, Anyang, China","institution_ids":["https://openalex.org/I4210117382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100650480","display_name":"Guoying Liu","orcid":"https://orcid.org/0000-0001-7423-1547"},"institutions":[{"id":"https://openalex.org/I4210117382","display_name":"Anyang Normal University","ror":"https://ror.org/02g9nss57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoying Liu","raw_affiliation_strings":["School of Computer and information Engineering Anyang Normal University, Anyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and information Engineering Anyang Normal University, Anyang, China","institution_ids":["https://openalex.org/I4210117382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001181725","display_name":"Wenying Ge","orcid":"https://orcid.org/0000-0002-0314-2050"},"institutions":[{"id":"https://openalex.org/I4210117382","display_name":"Anyang Normal University","ror":"https://ror.org/02g9nss57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenying Ge","raw_affiliation_strings":["School of Computer and information Engineering Anyang Normal University, Anyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and information Engineering Anyang Normal University, Anyang, China","institution_ids":["https://openalex.org/I4210117382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.15130401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","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/T14339","display_name":"Image Processing and 3D Reconstruction","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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9972000122070312,"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/T11212","display_name":"Cultural Heritage Materials Analysis","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.796964168548584},{"id":"https://openalex.org/keywords/pretext","display_name":"Pretext","score":0.738876461982727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6375792026519775},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5532059669494629},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5283433198928833},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5129432082176208},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5005552768707275},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4961794316768646},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.4870951175689697},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.441417396068573},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32852715253829956},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1646691858768463},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0721605122089386}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.796964168548584},{"id":"https://openalex.org/C2779627259","wikidata":"https://www.wikidata.org/wiki/Q779763","display_name":"Pretext","level":3,"score":0.738876461982727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6375792026519775},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5532059669494629},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5283433198928833},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5129432082176208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5005552768707275},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4961794316768646},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.4870951175689697},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.441417396068573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32852715253829956},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1646691858768463},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0721605122089386},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciscae52414.2021.9590642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae52414.2021.9590642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"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":24,"referenced_works":["https://openalex.org/W1532744717","https://openalex.org/W2321533354","https://openalex.org/W2612445135","https://openalex.org/W2785325870","https://openalex.org/W2796347433","https://openalex.org/W2908467201","https://openalex.org/W2963420272","https://openalex.org/W2970424822","https://openalex.org/W2979927723","https://openalex.org/W3022265613","https://openalex.org/W3024869452","https://openalex.org/W3035725276","https://openalex.org/W3036435328","https://openalex.org/W3098741479","https://openalex.org/W3106228916","https://openalex.org/W3158747064","https://openalex.org/W3173151551","https://openalex.org/W3176009670","https://openalex.org/W4293584584","https://openalex.org/W4297775537","https://openalex.org/W6737664043","https://openalex.org/W6773359789","https://openalex.org/W6794471653","https://openalex.org/W7015890786"],"related_works":["https://openalex.org/W161456234","https://openalex.org/W3123043866","https://openalex.org/W2765162471","https://openalex.org/W2367130511","https://openalex.org/W4235007455","https://openalex.org/W2354300066","https://openalex.org/W2996988663","https://openalex.org/W3048601286","https://openalex.org/W2965925734","https://openalex.org/W2515319207"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,66,92],"design":[4,67],"a":[5],"two-branch":[6],"deep":[7],"learning":[8,17,52,121],"framework":[9,63],"to":[10,54,98],"tackle":[11],"the":[12,46,109],"problem":[13,24],"of":[14,48,61,79],"self-supervised":[15,51,101,120],"representation":[16],"for":[18,87],"Oracle":[19],"Bone":[20],"Inscriptions":[21],"(OBIs).":[22],"This":[23],"is":[25,64],"very":[26],"complicated":[27],"in":[28,45],"that,":[29,107],"unlike":[30],"natural-photos,":[31],"OBI":[32,88,94],"images":[33],"present":[34],"more":[35],"abstract":[36],"content":[37],"and":[38,74,117],"suffer":[39],"from":[40],"different":[41],"drawing":[42],"styles,":[43],"resulting":[44],"failure":[47],"many":[49],"existing":[50],"methods":[53],"describe":[55],"them":[56],"accurately.":[57],"The":[58],"core":[59],"idea":[60],"our":[62,100,112],"that":[65],"two":[68,77],"OBI-specific":[69],"pretext":[70,80],"tasks,":[71],"i.e.":[72],"rotation":[73],"deformation.":[75],"These":[76],"kinds":[78],"tasks":[81],"can":[82],"provide":[83],"strong":[84],"supervision":[85],"signals":[86],"features":[89],"learning.":[90],"And":[91],"perform":[93],"recognition":[95],"downstream":[96],"task":[97],"evaluate":[99],"learned":[102],"features.":[103],"Experimental":[104],"results":[105],"show":[106],"under":[108],"same":[110],"dataset,":[111],"proposed":[113],"method":[114],"outperforms":[115],"jigsaw":[116],"matting":[118],"based":[119],"methods.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
