{"id":"https://openalex.org/W7133566479","doi":"https://doi.org/10.48550/arxiv.2603.02286","title":"Beyond Prompt Degradation: Prototype-guided Dual-pool Prompting for Incremental Object Detection","display_name":"Beyond Prompt Degradation: Prototype-guided Dual-pool Prompting for Incremental Object Detection","publication_year":2026,"publication_date":"2026-03-02","ids":{"openalex":"https://openalex.org/W7133566479","doi":"https://doi.org/10.48550/arxiv.2603.02286"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.02286","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02286","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.02286","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128068192","display_name":"Yaoteng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yaoteng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128040827","display_name":"Zhou Qing","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qing, Zhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128053167","display_name":"Junyu Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Junyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128047226","display_name":"Qi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Qi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"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":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.47870001196861267,"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":0.47870001196861267,"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":0.45419999957084656,"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":0.011800000444054604,"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/pascal","display_name":"Pascal (unit)","score":0.5188000202178955},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4684999883174896},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4478999972343445},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4438000023365021},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.42260000109672546},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4138000011444092},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4027999937534332},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.37869998812675476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7527999877929688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5878999829292297},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.5188000202178955},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4684999883174896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45570001006126404},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4478999972343445},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4438000023365021},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.42260000109672546},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4138000011444092},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4027999937534332},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.37630000710487366},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3700999915599823},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3409999907016754},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.32659998536109924},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29989999532699585},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.29910001158714294},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C92991967","wikidata":"https://www.wikidata.org/wiki/Q7644329","display_name":"Supervisory control","level":3,"score":0.2572999894618988},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.25369998812675476},{"id":"https://openalex.org/C112789634","wikidata":"https://www.wikidata.org/wiki/Q18207010","display_name":"False positives and false negatives","level":3,"score":0.2526000142097473},{"id":"https://openalex.org/C2779606619","wikidata":"https://www.wikidata.org/wiki/Q17092524","display_name":"Interchangeability","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.02286","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02286","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.02286","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02286","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7093011736869812,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Incremental":[0],"Object":[1],"Detection":[2],"(IOD)":[3],"aims":[4],"to":[5,31,74,86,109,151],"continuously":[6],"learn":[7,87],"new":[8],"object":[9],"categories":[10],"without":[11],"forgetting":[12],"previously":[13],"learned":[14],"ones.":[15],"Recently,":[16],"prompt-based":[17],"methods":[18,38],"have":[19],"gained":[20],"popularity":[21],"for":[22,78],"their":[23],"replay-free":[24],"design":[25],"and":[26,34,81,96,103,146,175,190,194],"parameter":[27],"efficiency.":[28],"However,":[29],"due":[30],"prompt":[32,35,42,64,105,111],"coupling":[33],"drift,":[36],"these":[37,49],"often":[39],"suffer":[40],"from":[41,114],"degradation":[43],"during":[44,144],"continual":[45],"adaptation.":[46],"To":[47],"address":[48],"issues,":[50],"we":[51],"propose":[52],"a":[53,62,70,82,130,171,179],"novel":[54],"prompt-decoupled":[55],"framework":[56],"called":[57],"PDP.":[58],"PDP":[59,128,164],"innovatively":[60],"designs":[61],"dual-pool":[63],"decoupling":[65],"paradigm,":[66],"which":[67],"consists":[68],"of":[69],"shared":[71],"pool":[72,84],"used":[73,85],"capture":[75],"task-general":[76,95],"knowledge":[77],"forward":[79],"transfer,":[80],"private":[83],"task-specific":[88,97],"discriminative":[89],"features.":[90],"This":[91],"paradigm":[92],"explicitly":[93],"separates":[94],"prompts,":[98],"preventing":[99],"interference":[100],"between":[101],"prompts":[102],"mitigating":[104],"coupling.":[106],"In":[107],"addition,":[108],"counteract":[110],"drift":[112],"resulting":[113],"inconsistent":[115],"supervision":[116],"where":[117],"old":[118],"foreground":[119],"objects":[120],"are":[121,196],"treated":[122],"as":[123],"background":[124],"in":[125,187],"subsequent":[126],"tasks,":[127],"introduces":[129],"Prototypical":[131],"Pseudo-Label":[132],"Generation":[133],"(PPG)":[134],"module.":[135],"PPG":[136],"can":[137],"dynamically":[138],"update":[139],"the":[140,148,161],"class":[141,149],"prototype":[142],"space":[143],"training":[145],"use":[147],"prototypes":[150],"further":[152],"filter":[153],"valuable":[154],"pseudo-labels,":[155],"maintaining":[156],"supervisory":[157],"signal":[158],"consistency":[159],"throughout":[160],"incremental":[162],"process.":[163],"achieves":[165],"state-of-the-art":[166],"performance":[167],"on":[168],"MS-COCO":[169],"(with":[170,178],"9.2\\%":[172],"AP":[173,181],"improvement)":[174,182],"PASCAL":[176],"VOC":[177],"3.3\\%":[180],"benchmarks,":[183],"highlighting":[184],"its":[185],"potential":[186],"balancing":[188],"stability":[189],"plasticity.":[191],"The":[192],"code":[193],"dataset":[195],"released":[197],"at:":[198],"https://github.com/zyt95579/PDP\\_IOD/tree/main":[199]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-05T00:00:00"}