{"id":"https://openalex.org/W4393241317","doi":"https://doi.org/10.1109/tmm.2024.3382512","title":"CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning","display_name":"CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393241317","doi":"https://doi.org/10.1109/tmm.2024.3382512"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3382512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3382512","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5054198217","display_name":"Mingye Xu","orcid":"https://orcid.org/0000-0001-8688-5361"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingye Xu","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","Interactive Entertainment Group, Tencent Inc, Shenzhen, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8688-5361","affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Interactive Entertainment Group, Tencent Inc, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107005462","display_name":"Zhipeng Zhou","orcid":"https://orcid.org/0009-0007-7988-8856"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Zhou","raw_affiliation_strings":["Alibaba Damo Academy, Hangzhou, China","Algorithm Expert in Alibaba Damo Academy, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-7988-8856","affiliations":[{"raw_affiliation_string":"Alibaba Damo Academy, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Algorithm Expert in Alibaba Damo Academy, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016248876","display_name":"Hongbin Xu","orcid":"https://orcid.org/0000-0002-3455-1527"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Xu","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3455-1527","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748135","display_name":"Yu Qiao","orcid":"https://orcid.org/0000-0002-1889-2567"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Qiao","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","Shanghai Artificial Intelligence Laboratory, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1889-2567","affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100335705","display_name":"Yali Wang","orcid":"https://orcid.org/0000-0002-2999-7428"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yali Wang","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","Shanghai Artificial Intelligence Laboratory, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2999-7428","affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054198217"],"corresponding_institution_ids":["https://openalex.org/I2250653659","https://openalex.org/I4210145761","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":7.9577,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.96939365,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"8799","last_page":"8810"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9939000010490417,"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":0.9939000010490417,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9828000068664551,"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":0.8250041007995605},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5852757096290588},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5839927196502686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5729955434799194},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5243219137191772},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3529680669307709},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3426658511161804},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08361297845840454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8250041007995605},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5852757096290588},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5839927196502686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5729955434799194},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5243219137191772},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3529680669307709},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3426658511161804},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08361297845840454},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3382512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3382512","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5087484788","display_name":null,"funder_award_id":"62272450","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W1522301498","https://openalex.org/W1902027874","https://openalex.org/W1920022804","https://openalex.org/W1970844948","https://openalex.org/W2187089797","https://openalex.org/W2553307952","https://openalex.org/W2560609797","https://openalex.org/W2560722161","https://openalex.org/W2796426482","https://openalex.org/W2810240468","https://openalex.org/W2850910281","https://openalex.org/W2883604724","https://openalex.org/W2889300857","https://openalex.org/W2909765569","https://openalex.org/W2948012107","https://openalex.org/W2962824366","https://openalex.org/W2962928871","https://openalex.org/W2963053547","https://openalex.org/W2963158438","https://openalex.org/W2963231572","https://openalex.org/W2963509914","https://openalex.org/W2963517242","https://openalex.org/W2963719584","https://openalex.org/W2964062501","https://openalex.org/W2964228567","https://openalex.org/W2964935548","https://openalex.org/W2979750740","https://openalex.org/W2981440248","https://openalex.org/W2990613095","https://openalex.org/W2991485494","https://openalex.org/W2997216793","https://openalex.org/W2999794487","https://openalex.org/W3009750677","https://openalex.org/W3034459762","https://openalex.org/W3035534438","https://openalex.org/W3102970498","https://openalex.org/W3108655343","https://openalex.org/W3116959466","https://openalex.org/W3117053879","https://openalex.org/W3174510152","https://openalex.org/W3178738710","https://openalex.org/W3202611145","https://openalex.org/W3203089644","https://openalex.org/W3206846540","https://openalex.org/W3213955018","https://openalex.org/W4213429619","https://openalex.org/W4214755140","https://openalex.org/W4239510810","https://openalex.org/W4288092002","https://openalex.org/W4312270234","https://openalex.org/W4394671432","https://openalex.org/W6631190155","https://openalex.org/W6687484953","https://openalex.org/W6739778489","https://openalex.org/W6744580074","https://openalex.org/W6755466756","https://openalex.org/W6758691723","https://openalex.org/W6762573206","https://openalex.org/W6763416564"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"Self-supervised":[0],"learning":[1,167],"has":[2],"not":[3,183],"been":[4],"extensively":[5],"investigated":[6],"in":[7,49,79],"the":[8,80,121,126,130,146,166,223,229,232,243],"context":[9],"of":[10,88,106,168,205,217],"point":[11,20,81,89,101,111,131,148,206],"cloud":[12,21,90,102,112,149,207],"analysis.":[13],"Current":[14],"frameworks":[15],"are":[16],"predominantly":[17],"rely":[18],"on":[19,129,141,202,246],"reconstruction.":[22,103],"Given":[23],"only":[24,184],"3D":[25],"coordinates,":[26],"such":[27,52,151],"approaches":[28],"tend":[29],"to":[30,39,75,164],"learn":[31,76,190],"local":[32],"geometric":[33],"structures":[34],"and":[35,83,115,124,227,250],"contours":[36],"but":[37,188],"struggle":[38],"comprehend":[40],"high-level":[41],"semantic":[42,77,142,191],"content.":[43],"Consequently,":[44],"they":[45],"achieve":[46],"unsatisfactory":[47],"performance":[48],"downstream":[50,195],"tasks":[51],"as":[53,160],"classification,":[54,236],"segmentation,":[55],"etc.":[56],"To":[57],"fill":[58],"this":[59,157,179],"gap,":[60],"we":[61,93,109,119,155,198,237],"propose":[62],"a":[63,95,134,173,203,239],"generic":[64],"Contour-Perturbed":[65],"Reconstruction":[66],"Network":[67],"(CP-Net),":[68],"which":[69],"can":[70,138],"effectively":[71,139],"guides":[72],"self-supervised":[73,225],"reconstruction":[74,159,170],"content":[78,116,127,192],"cloud,":[82],"thus":[84],"promote":[85],"discriminative":[86,194],"power":[87],"representation.":[91],"Initially,":[92],"introduce":[94],"concise":[96],"contour-perturbed":[97],"augmentation":[98],"module":[99],"for":[100,193],"With":[104],"guidance":[105],"geometry":[107],"disentangling,":[108],"divide":[110],"into":[113],"contour":[114,122,187],"components.":[117],"Subsequently,":[118],"perturb":[120],"components":[123,128],"preserve":[125],"cloud.":[132],"As":[133],"result,":[135],"self":[136],"supervisor":[137],"focus":[140],"content,":[143],"by":[144],"reconstructing":[145],"original":[147],"from":[150],"perturbed":[152,158],"one.":[153],"Next,":[154],"use":[156],"an":[161],"assistant":[162],"branch,":[163],"guide":[165],"basic":[169],"branch":[171],"via":[172],"distinct":[174],"dual-branch":[175],"consistency":[176],"loss.":[177],"In":[178],"case,":[180],"our":[181,214],"CP-Net":[182,215],"captures":[185],"structural":[186],"also":[189],"tasks.":[196],"Finally,":[197],"perform":[199],"extensive":[200],"experiments":[201],"number":[204],"benchmarks.":[208],"Part":[209],"segmentation":[210],"results":[211],"demonstrate":[212],"that":[213],"(81.5%":[216],"mean":[218],"Intersection":[219],"over":[220],"union)":[221],"outperforms":[222],"previous":[224],"models,":[226],"narrows":[228],"gap":[230],"with":[231,242],"fully-supervised":[233,244],"methods.":[234],"For":[235],"get":[238],"competitive":[240],"result":[241],"methods":[245],"ModelNet40":[247],"(92.5%":[248],"accuracy)":[249],"ScanObjectNN":[251],"(87.9%":[252],"accuracy).":[253],"Our":[254],"code":[255],"is":[256],"available":[257],"at":[258],"<uri":[259],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[260],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/MingyeXu/cp-net</uri>":[261]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}