{"id":"https://openalex.org/W4386736927","doi":"https://doi.org/10.1109/access.2023.3315327","title":"Class-Prompting Transformer for Incremental Semantic Segmentation","display_name":"Class-Prompting Transformer for Incremental Semantic Segmentation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386736927","doi":"https://doi.org/10.1109/access.2023.3315327"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3315327","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3315327","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2023.3315327","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053560715","display_name":"Zichen Song","orcid":"https://orcid.org/0000-0003-4105-7495"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zichen Song","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-4105-7495","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019769019","display_name":"Zhaofeng Shi","orcid":"https://orcid.org/0000-0001-6313-8670"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaofeng Shi","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-6313-8670","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070638594","display_name":"Chao Shang","orcid":"https://orcid.org/0000-0002-2854-2309"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Shang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-2854-2309","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100617043","display_name":"Fanman Meng","orcid":"https://orcid.org/0000-0002-3016-2567"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanman Meng","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-3016-2567","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044954967","display_name":"Linfeng Xu","orcid":"https://orcid.org/0000-0002-9934-0958"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linfeng Xu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-9934-0958","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053560715"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.674,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75700617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"100154","last_page":"100164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9988999962806702,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8427987098693848},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6719201803207397},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6647394895553589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5968462824821472},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.587549090385437},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.5684579014778137},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5364997982978821},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.48698052763938904},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.4519568979740143},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.44905710220336914},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43981996178627014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4292120933532715},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3821653127670288},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3446773290634155},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18991267681121826},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.10582828521728516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8427987098693848},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6719201803207397},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6647394895553589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5968462824821472},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.587549090385437},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.5684579014778137},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5364997982978821},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.48698052763938904},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.4519568979740143},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.44905710220336914},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43981996178627014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4292120933532715},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3821653127670288},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3446773290634155},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18991267681121826},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.10582828521728516},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3315327","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3315327","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bce05f27e08e4e1ca62c16dd1d96c6ba","is_oa":true,"landing_page_url":"https://doaj.org/article/bce05f27e08e4e1ca62c16dd1d96c6ba","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 100154-100164 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3315327","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3315327","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G3308342199","display_name":null,"funder_award_id":"62271119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4901201157","display_name":null,"funder_award_id":"62071086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8830925542","display_name":null,"funder_award_id":"ZYGX2021YGLH210","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1745334888","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W2031489346","https://openalex.org/W2060277733","https://openalex.org/W2108598243","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2473930607","https://openalex.org/W2560647685","https://openalex.org/W2561196672","https://openalex.org/W2583761661","https://openalex.org/W2630837129","https://openalex.org/W2737258237","https://openalex.org/W2771964490","https://openalex.org/W2786446225","https://openalex.org/W2798791840","https://openalex.org/W2884282566","https://openalex.org/W2948734064","https://openalex.org/W2955058313","https://openalex.org/W2962891704","https://openalex.org/W2963438784","https://openalex.org/W2963559848","https://openalex.org/W2963588172","https://openalex.org/W2964067969","https://openalex.org/W2964189064","https://openalex.org/W2980994576","https://openalex.org/W2993235622","https://openalex.org/W2999368783","https://openalex.org/W3011986058","https://openalex.org/W3034435444","https://openalex.org/W3034502973","https://openalex.org/W3046040757","https://openalex.org/W3098511564","https://openalex.org/W3108827478","https://openalex.org/W3144200357","https://openalex.org/W3166396011","https://openalex.org/W3166525903","https://openalex.org/W3170841864","https://openalex.org/W3171888599","https://openalex.org/W3178686235","https://openalex.org/W3187986157","https://openalex.org/W3198020043","https://openalex.org/W3211490618","https://openalex.org/W4214893857","https://openalex.org/W4221160126","https://openalex.org/W4224329991","https://openalex.org/W4225922183","https://openalex.org/W4312401347","https://openalex.org/W4312447529","https://openalex.org/W4312813479","https://openalex.org/W4312868686","https://openalex.org/W4385245566","https://openalex.org/W4386071761","https://openalex.org/W4386076115","https://openalex.org/W4386076193","https://openalex.org/W4386076491","https://openalex.org/W6639824700","https://openalex.org/W6640295612","https://openalex.org/W6677258307","https://openalex.org/W6732467815","https://openalex.org/W6738602802","https://openalex.org/W6739696289","https://openalex.org/W6739901393","https://openalex.org/W6746643698","https://openalex.org/W6761469101","https://openalex.org/W6767674130","https://openalex.org/W6772643841","https://openalex.org/W6791353385","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W3204184292","https://openalex.org/W2145559838","https://openalex.org/W2905319430","https://openalex.org/W3116498279","https://openalex.org/W4287549553","https://openalex.org/W3176564347","https://openalex.org/W2355833770","https://openalex.org/W4310285384"],"abstract_inverted_index":{"Class-incremental":[0],"Semantic":[1],"Segmentation":[2],"(CISS)":[3],"aims":[4],"to":[5,15,27,73,89,137,148,162,175,190],"learn":[6],"new":[7,66,108,140,152],"tasks":[8,38],"sequentially":[9],"that":[10],"assign":[11],"a":[12,19,85,96,120,155],"specific":[13,52],"category":[14],"each":[16],"pixel":[17],"of":[18,36,151,209],"given":[20],"image":[21],"while":[22],"preserving":[23],"the":[24,29,34,56,63,105,127,130,139,145,149,168,173,177,203,207,210],"original":[25],"capability":[26],"segment":[28],"old":[30,37,64,106,134],"classes":[31,67,109],"even":[32],"if":[33],"labels":[35],"are":[39],"absent.":[40],"Most":[41],"existing":[42],"CISS":[43,101,204],"methods":[44],"suppress":[45,191],"catastrophic":[46,192],"forgetting":[47],"by":[48,95],"directly":[49],"distilling":[50],"on":[51,196],"layers,":[53],"which":[54,125,213],"ignores":[55],"semantic":[57,178],"gap":[58,179],"between":[59,129,181],"training":[60],"data":[61,184],"from":[62,172],"and":[65,71,107,110,115,133,185,199],"with":[68,167],"different":[69],"distributions":[70],"leads":[72],"distillation":[74],"errors,":[75],"thus":[76],"affecting":[77],"segmentation":[78],"performance.":[79,216],"In":[80],"this":[81],"paper,":[82],"we":[83,118],"propose":[84],"Class-prompting":[86],"Transformer":[87],"(CPT)":[88],"introduce":[90],"external":[91],"prior":[92],"knowledge":[93,147,188],"provided":[94],"pre-trained":[97],"vision-language":[98],"encoder":[99],"into":[100],"pipelines":[102],"for":[103,143,202],"bridging":[104],"performing":[111],"more":[112],"generalized":[113],"initialization":[114],"distillation.":[116],"Specifically,":[117],"proposed":[119,161,211],"Prompt-guided":[121],"Initialization":[122],"Module":[123,158],"(PIM),":[124],"measures":[126],"relationships":[128],"class":[131,164,183],"prompts":[132],"query":[135,141],"parameters":[136,142],"initialize":[138],"relocating":[144],"previous":[146],"learning":[150],"tasks.":[153],"Then,":[154],"Semantic-aligned":[156],"Distillation":[157],"(SDM)":[159],"is":[160],"incorporate":[163],"prompt":[165],"information":[166],"class-aware":[169],"embeddings":[170],"extracted":[171],"decoder":[174],"prevent":[176],"problem":[180],"distinct":[182],"conduct":[186],"adaptive":[187],"transfer":[189],"forgetting.":[193],"Extensive":[194],"experiments":[195],"Pascal":[197],"VOC":[198],"ADE20K":[200],"datasets":[201],"task":[205],"demonstrate":[206],"superiority":[208],"method,":[212],"achieves":[214],"state-of-the-art":[215]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
