{"id":"https://openalex.org/W4400233455","doi":"https://doi.org/10.1109/iscas58744.2024.10558084","title":"Memory-Based Contrastive Learning with Optimized Sampling for Incremental Few-Shot Semantic Segmentation","display_name":"Memory-Based Contrastive Learning with Optimized Sampling for Incremental Few-Shot Semantic Segmentation","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400233455","doi":"https://doi.org/10.1109/iscas58744.2024.10558084"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10558084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5100419906","display_name":"Yuxuan Zhang","orcid":"https://orcid.org/0009-0009-9503-162X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Zhang","raw_affiliation_strings":["Tongji University,Department of Computer Science & Technology,Shanghai,P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University,Department of Computer Science & Technology,Shanghai,P. R. China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101675323","display_name":"Miaojing Shi","orcid":"https://orcid.org/0000-0002-4933-0073"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaojing Shi","raw_affiliation_strings":["Tongji University,Department of Control Science & Engineering,Shanghai,P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University,Department of Control Science & Engineering,Shanghai,P. R. China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061219010","display_name":"Taiyi Su","orcid":"https://orcid.org/0000-0002-4357-1095"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taiyi Su","raw_affiliation_strings":["Tongji University,Department of Computer Science & Technology,Shanghai,P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University,Department of Computer Science & Technology,Shanghai,P. R. China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058982350","display_name":"Hanli Wang","orcid":"https://orcid.org/0000-0002-9999-4871"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanli Wang","raw_affiliation_strings":["Tongji University,Department of Computer Science & Technology,Shanghai,P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University,Department of Computer Science & Technology,Shanghai,P. R. China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9853000044822693,"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":0.9853000044822693,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9150000214576721,"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":0.8340039253234863},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6573621034622192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.627246618270874},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5809500217437744},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5407826900482178},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.47412538528442383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3433608412742615},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.31568264961242676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8340039253234863},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6573621034622192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.627246618270874},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5809500217437744},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5407826900482178},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.47412538528442383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3433608412742615},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31568264961242676},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas58744.2024.10558084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":25,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W2037227137","https://openalex.org/W2412782625","https://openalex.org/W2473930607","https://openalex.org/W2630837129","https://openalex.org/W2798836702","https://openalex.org/W2924485953","https://openalex.org/W2964105864","https://openalex.org/W2994528761","https://openalex.org/W3011986058","https://openalex.org/W3034435444","https://openalex.org/W3093274308","https://openalex.org/W3108975329","https://openalex.org/W3127595489","https://openalex.org/W4283760398","https://openalex.org/W4288099336","https://openalex.org/W4294646197","https://openalex.org/W4378945323","https://openalex.org/W6717697761","https://openalex.org/W6750254146","https://openalex.org/W6784950539","https://openalex.org/W6797399245","https://openalex.org/W6852710208","https://openalex.org/W6880937956"],"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/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W2325697621"],"abstract_inverted_index":{"Incremental":[0],"few-shot":[1],"semantic":[2,10],"segmentation":[3,11],"(IFSS)":[4],"aims":[5],"to":[6,14,33,57,84],"incrementally":[7],"expand":[8],"a":[9,52,77],"model\u2019s":[12],"ability":[13],"identify":[15],"new":[16,46,115],"classes":[17],"based":[18],"on":[19],"few":[20],"samples.":[21],"However,":[22],"it":[23],"grapples":[24],"with":[25],"the":[26,86,95,102,111,121,135,139],"dual":[27],"challenges":[28],"of":[29,98,106,114,138,145],"catastrophic":[30],"forgetting":[31],"(due":[32],"feature":[34,96],"drift":[35],"in":[36,45,151],"old":[37],"classes)":[38],"and":[39,60,69,80,104,128],"overfitting":[40],"(triggered":[41],"by":[42,65],"inadequate":[43],"samples":[44],"classes).":[47],"To":[48,117],"address":[49],"these":[50],"issues,":[51],"novel":[53],"approach":[54,123],"is":[55],"proposed":[56,74,122,140],"integrate":[58],"pixel-wise":[59],"region-wise":[61],"contrastive":[62],"learning,":[63],"complemented":[64],"an":[66,125],"optimized":[67,126],"example":[68,127],"anchor":[70,129],"sampling":[71,130],"strategy.":[72,131],"The":[73,92,142],"method":[75],"incorporates":[76],"region":[78],"memory":[79,82],"pixel":[81],"designed":[83],"explore":[85],"high-dimensional":[87],"embedding":[88],"space":[89],"more":[90],"effectively.":[91],"memory,":[93],"retaining":[94],"embeddings":[97],"known":[99],"classes,":[100],"facilitates":[101],"calibration":[103],"alignment":[105],"seen":[107],"class":[108],"features":[109],"during":[110],"learning":[112],"process":[113],"classes.":[116],"further":[118],"mitigate":[119],"overfitting,":[120],"implements":[124],"Extensive":[132],"experiments":[133],"show":[134],"competitive":[136],"performance":[137],"method.":[141],"source":[143],"code":[144],"this":[146],"work":[147],"can":[148],"be":[149],"found":[150],"https://mic.tongji.edu.cn.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}