{"id":"https://openalex.org/W4389664825","doi":"https://doi.org/10.1109/lsp.2023.3342613","title":"HybridVPS: Hybrid-Supervised Video Polyp Segmentation Under Low-Cost Labels","display_name":"HybridVPS: Hybrid-Supervised Video Polyp Segmentation Under Low-Cost Labels","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4389664825","doi":"https://doi.org/10.1109/lsp.2023.3342613"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3342613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3342613","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5065448472","display_name":"Wenxue Li","orcid":"https://orcid.org/0000-0002-1301-4933"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxue Li","raw_affiliation_strings":["School of Future Technology, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-1301-4933","affiliations":[{"raw_affiliation_string":"School of Future Technology, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102762676","display_name":"Xinyu Xiong","orcid":"https://orcid.org/0000-0001-9211-3165"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Xiong","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9211-3165","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764439","display_name":"Siying Li","orcid":"https://orcid.org/0000-0002-9752-8738"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siying Li","raw_affiliation_strings":["Smart Hospital Research Institute, Peking University Shenzhen Hospital, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9752-8738","affiliations":[{"raw_affiliation_string":"Smart Hospital Research Institute, Peking University Shenzhen Hospital, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026237787","display_name":"Fugui Fan","orcid":"https://orcid.org/0000-0002-7429-0245"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fugui Fan","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-7429-0245","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5583,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.95325703,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"111","last_page":"115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9887999892234802,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.984499990940094,"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/computer-science","display_name":"Computer science","score":0.8556822538375854},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7730969190597534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7539094686508179},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7145253419876099},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6781877279281616},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6670044660568237},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6168760657310486},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5184863805770874},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4794313311576843},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4029378294944763}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8556822538375854},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7730969190597534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7539094686508179},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7145253419876099},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6781877279281616},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6670044660568237},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6168760657310486},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5184863805770874},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4794313311576843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4029378294944763}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2023.3342613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3342613","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2591696292","https://openalex.org/W2970045605","https://openalex.org/W2979907638","https://openalex.org/W2997568695","https://openalex.org/W3035600434","https://openalex.org/W3046240927","https://openalex.org/W3048980154","https://openalex.org/W3092564080","https://openalex.org/W3094901756","https://openalex.org/W3094938797","https://openalex.org/W3096981517","https://openalex.org/W3174697615","https://openalex.org/W3182236906","https://openalex.org/W3197164375","https://openalex.org/W3202285299","https://openalex.org/W3206203595","https://openalex.org/W4283796551","https://openalex.org/W4285183316","https://openalex.org/W4292347839","https://openalex.org/W4295096627","https://openalex.org/W4295747380","https://openalex.org/W4295939242","https://openalex.org/W4299652825","https://openalex.org/W4308456711","https://openalex.org/W4364383015","https://openalex.org/W4367595576","https://openalex.org/W4386362790","https://openalex.org/W4387623788","https://openalex.org/W4387642453","https://openalex.org/W6733814495","https://openalex.org/W6749841200","https://openalex.org/W6851059612"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W2218034408","https://openalex.org/W1549363203","https://openalex.org/W2392921965","https://openalex.org/W4231274751","https://openalex.org/W2154063878"],"abstract_inverted_index":{"Deep":[0],"polyp":[1,38,58,151],"segmentation":[2,39,59],"methods":[3,14],"have":[4],"shown":[5],"remarkable":[6],"potential":[7],"in":[8,28,51],"boosting":[9],"diagnostic":[10],"efficiency.":[11],"Nevertheless,":[12],"these":[13],"rely":[15],"on":[16,147],"sufficient":[17],"pixel-wise":[18,95,127],"annotated":[19],"data,":[20],"which":[21,63,125],"is":[22,33,76],"time-consuming":[23],"and":[24],"labor-intensive":[25],"to":[26,42,77,129,164],"acquire":[27],"clinical":[29],"practice.":[30],"This":[31],"challenge":[32],"further":[34],"escalated":[35],"under":[36],"the":[37,43,66,82,98,105,111,139,143,148,155,165,174],"scenario":[40],"due":[41],"massive":[44],"video":[45,87,150],"frames.":[46,88],"To":[47,108],"alleviate":[48],"annotating":[49],"burden,":[50],"this":[52],"letter,":[53],"we":[54,119],"propose":[55],"a":[56,91],"label-efficient":[57],"framework":[60],"named":[61],"HybridVPS,":[62],"drastically":[64],"reduces":[65],"annotation":[67,128],"cost":[68],"while":[69,97,169],"maintaining":[70],"satisfactory":[71],"performance.":[72],"Our":[73],"core":[74],"insight":[75],"take":[78],"full":[79],"advantage":[80],"of":[81,142,157,173],"similar":[83],"semantics":[84],"between":[85],"consecutive":[86],"Specifically,":[89],"only":[90,171],"few":[92],"frames":[93],"require":[94],"annotations,":[96,118],"cheap":[99],"scribble":[100,117],"annotations":[101],"are":[102],"enough":[103],"for":[104,133],"remaining":[106],"part.":[107],"fully":[109,166],"leverage":[110],"coarse":[112],"location":[113],"information":[114],"provided":[115],"by":[116],"introduce":[120],"an":[121],"adaptive":[122],"label":[123],"prompter,":[124],"utilizes":[126],"provide":[130],"reliable":[131],"guidance":[132],"scribble-annotated":[134],"neighboring":[135],"frames,":[136],"thus":[137],"facilitating":[138],"overall":[140],"accuracy":[141],"segmentation.":[144],"Extensive":[145],"experiments":[146],"large-scale":[149],"dataset":[152],"SUN-SEG":[153],"demonstrate":[154],"superiority":[156],"our":[158],"approach.":[159],"HybridVPS":[160],"achieves":[161],"comparable":[162],"performance":[163],"supervised":[167],"scheme":[168],"requiring":[170],"2%":[172],"pixel-level":[175],"annotations.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":14}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}