{"id":"https://openalex.org/W4298130049","doi":"https://doi.org/10.1145/3552437.3555697","title":"Dual Data Augmentation Method for Data-Deficient and Occluded Instance Segmentation","display_name":"Dual Data Augmentation Method for Data-Deficient and Occluded Instance Segmentation","publication_year":2022,"publication_date":"2022-09-30","ids":{"openalex":"https://openalex.org/W4298130049","doi":"https://doi.org/10.1145/3552437.3555697"},"language":"en","primary_location":{"id":"doi:10.1145/3552437.3555697","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3552437.3555697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports","raw_type":"proceedings-article"},"type":"conference-paper","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/A5081115024","display_name":"Bo Yan","orcid":"https://orcid.org/0000-0003-0256-9682"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Yan","raw_affiliation_strings":["Ant Group, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348451","display_name":"Yadong Li","orcid":"https://orcid.org/0000-0002-9882-6788"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yadong Li","raw_affiliation_strings":["Ant Group, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079640731","display_name":"Xingran Zhao","orcid":"https://orcid.org/0000-0002-1426-3683"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xingran Zhao","raw_affiliation_strings":["Ant Group, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100332096","display_name":"Hongbin Wang","orcid":"https://orcid.org/0000-0003-2176-2998"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongbin Wang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"117","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9891999959945679,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/segmentation","display_name":"Segmentation","score":0.8320446014404297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8100635409355164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6601698398590088},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.585636556148529},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5442933440208435},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4993429183959961},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4648192524909973},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.428522527217865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3573835492134094},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34002017974853516},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3255839943885803}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8320446014404297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8100635409355164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6601698398590088},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.585636556148529},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5442933440208435},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4993429183959961},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4648192524909973},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.428522527217865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3573835492134094},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34002017974853516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3255839943885803},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3552437.3555697","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3552437.3555697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2963849369","https://openalex.org/W2963857746","https://openalex.org/W2982161360","https://openalex.org/W3034885317","https://openalex.org/W3096609285","https://openalex.org/W3113410735","https://openalex.org/W3176659256","https://openalex.org/W4298130096"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W4379231730","https://openalex.org/W2952466936","https://openalex.org/W4389858081","https://openalex.org/W1988622314","https://openalex.org/W2393949104","https://openalex.org/W3046201198","https://openalex.org/W4293061921","https://openalex.org/W2501551404","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Instance":[0,26,124],"segmentation":[1,43,128],"is":[2,39,65,78,131],"applied":[3,130],"widely":[4],"in":[5,22],"image":[6,8],"editing,":[7],"analysis":[9],"and":[10,17,50,73,105],"autonomous":[11],"driving,":[12],"etc.":[13],"However,":[14],"insufficient":[15],"data":[16,77,97],"occlusion":[18,114],"are":[19,63],"common":[20],"problems":[21],"practical":[23],"application.":[24],"DeepSportRadar":[25,37,123,155],"Segmentation":[27,125],"challenge":[28,38,62,162],"has":[29],"focused":[30],"on":[31,52,122,137,153,160],"these":[32,85],"problems.":[33],"The":[34,127],"goal":[35],"of":[36,44,60,69,76],"to":[40,83,100,111],"tackle":[41,101],"the":[42,57,74,102,113,118,138,154,161],"individual":[45],"humans":[46],"including":[47,94],"players,":[48],"coaches":[49],"referees":[51],"a":[53,66,89,150],"basketball":[54],"court.":[55],"And":[56],"main":[58],"characteristics":[59],"this":[61],"there":[64],"high":[67],"level":[68],"occlusions":[70],"between":[71],"players":[72],"amount":[75],"quite":[79],"limited.":[80],"In":[81],"order":[82],"address":[84,112],"problems,":[86],"we":[87],"designed":[88],"Dual":[90],"Data":[91],"Augmentation(DDA)":[92],"method":[93,121,147],"an":[95,106],"offline":[96],"augmentation(ODA)":[98],"strategy":[99,110],"data-deficient":[103],"problem,":[104],"online":[107],"specific":[108],"copy-paste(OS-CP)":[109],"issue.":[115],"We":[116],"demonstrate":[117,144],"applicability":[119],"proposed":[120,146],"challenge.":[126],"model":[129],"Hybrid":[132],"Task":[133],"Cascade":[134],"based":[135],"detector":[136],"Swin-Large-based":[139],"CBNetV2":[140],"backbone.":[141],"Experimental":[142],"results":[143],"that":[145],"can":[148],"achieve":[149],"competitive":[151],"result":[152],"challenge,":[156],"with":[157],"[email":[158],"protected]:0.95":[159],"set.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}