{"id":"https://openalex.org/W4411552325","doi":"https://doi.org/10.1109/cscwd64889.2025.11033518","title":"Multi-View Text Enhancement for Parameter-Free Zero-Shot 3D Model Classification","display_name":"Multi-View Text Enhancement for Parameter-Free Zero-Shot 3D Model Classification","publication_year":2025,"publication_date":"2025-05-05","ids":{"openalex":"https://openalex.org/W4411552325","doi":"https://doi.org/10.1109/cscwd64889.2025.11033518"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd64889.2025.11033518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5065299759","display_name":"Shuting Xi","orcid":"https://orcid.org/0000-0002-9015-8981"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuting Xi","raw_affiliation_strings":["School of Computer Science and Engineering, North Minzu University,Yinchuan,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, North Minzu University,Yinchuan,China","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078012348","display_name":"Jing Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Bai","raw_affiliation_strings":["School of Computer Science and Engineering, North Minzu University,Yinchuan,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, North Minzu University,Yinchuan,China","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100962128","display_name":"Zheng Hu","orcid":"https://orcid.org/0009-0003-5292-0191"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, North Minzu University,Yinchuan,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, North Minzu University,Yinchuan,China","institution_ids":["https://openalex.org/I3019309368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065299759"],"corresponding_institution_ids":["https://openalex.org/I3019309368"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15833343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1563","last_page":"1568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9857000112533569,"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":0.9857000112533569,"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":0.9742000102996826,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9623000025749207,"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/zero","display_name":"Zero (linguistics)","score":0.6544430255889893},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6320346593856812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5559485554695129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4040170907974243},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34104883670806885},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32302337884902954},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11630144715309143}],"concepts":[{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.6544430255889893},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6320346593856812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5559485554695129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4040170907974243},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34104883670806885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32302337884902954},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11630144715309143},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd64889.2025.11033518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4798575291","display_name":null,"funder_award_id":"2022AAC02041","funder_id":"https://openalex.org/F4320322877","funder_display_name":"Natural Science Foundation of Ningxia Province"},{"id":"https://openalex.org/G7955315463","display_name":null,"funder_award_id":"62162001","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/F4320322877","display_name":"Natural Science Foundation of Ningxia Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W2044913453","https://openalex.org/W2171061940","https://openalex.org/W2194775991","https://openalex.org/W2611632661","https://openalex.org/W2886710928","https://openalex.org/W2927958594","https://openalex.org/W2963283377","https://openalex.org/W2963960318","https://openalex.org/W2979571231","https://openalex.org/W3096831136","https://openalex.org/W4312505341","https://openalex.org/W4312818263","https://openalex.org/W4386076097","https://openalex.org/W4390189960","https://openalex.org/W4390872570","https://openalex.org/W4390874324","https://openalex.org/W4394625602","https://openalex.org/W4402727761","https://openalex.org/W6791353385"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2051487156","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Large-scale":[0],"pre-trained":[1,106],"models":[2,29],"have":[3,20],"demonstrated":[4],"significant":[5],"advantages":[6],"when":[7,24],"dealing":[8],"with":[9],"visual":[10,80,112],"and":[11,60,81,114,138,146,180,183,198],"language":[12,123],"tasks":[13],"in":[14,36,170],"open-world":[15],"scenes.":[16],"However,":[17],"recent":[18],"studies":[19],"identified":[21],"certain":[22],"limitations":[23],"utilizing":[25],"comparative":[26],"language-visual":[27],"pretrained":[28],"for":[30],"zero-shot":[31,93,162],"3D":[32,47,71,94,127,166],"model":[33,72,95,124,128],"classification,":[34],"mainly":[35],"the":[37,41,46,65,70,76,116,153,168,177,187,191,196,201],"form":[38],"of":[39,45,69,79,120,157,190,200],"neglecting":[40],"multi-view":[42,91,111],"independent":[43,154],"information":[44,130],"model.":[48],"In":[49],"addition,":[50],"existing":[51],"textual":[52,139],"cues":[53,140],"usually":[54],"rely":[55],"only":[56],"on":[57,98,176,186],"category":[58],"semantics":[59],"fail":[61],"to":[62,109,125,151,160],"fully":[63],"exploit":[64],"rich":[66],"contextual":[67],"structure":[68,129],"itself,":[73],"thus":[74],"limiting":[75],"effective":[77],"matching":[78],"semantic":[82,117],"information.":[83],"To":[84],"this":[85,87,171],"end,":[86],"paper":[88,172],"proposes":[89],"a":[90,99,105,121],"text-enhanced":[92],"classification":[96],"based":[97],"parameter-free":[100],"network.":[101],"The":[102],"method":[103,169],"utilizes":[104],"image":[107],"encoder":[108],"extract":[110],"features":[113],"combines":[115],"comprehension":[118],"capability":[119],"large":[122],"mine":[126],"from":[131],"multiple":[132],"perspectives.":[133],"Fine-grained":[134],"associations":[135],"between":[136],"views":[137],"are":[141],"made":[142],"through":[143],"view-by-view":[144],"interaction,":[145],"decision-level":[147],"fusion":[148],"is":[149],"used":[150],"integrate":[152],"decision":[155],"results":[156],"each":[158],"view":[159],"achieve":[161],"classification.":[163],"Without":[164],"any":[165],"training,":[167],"achieves":[173],"67.4%":[174],"accuracy":[175,185],"ZS3D":[178],"dataset":[179],"61.3%,":[181],"43.3%":[182],"28.1%":[184],"three":[188],"sub-datasets":[189],"Ali":[192],"dataset,":[193],"which":[194],"verifies":[195],"generalizability":[197],"effectiveness":[199],"proposed":[202],"method.":[203]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}