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Title: GitHub - tf63/ACMap: [CVPR2025] The implementation of Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning · GitHub

Open Graph Title: GitHub - tf63/ACMap: [CVPR2025] The implementation of Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning

X Title: GitHub - tf63/ACMap: [CVPR2025] The implementation of Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning

Description: [CVPR2025] The implementation of Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning - tf63/ACMap

Open Graph Description: [CVPR2025] The implementation of Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning - tf63/ACMap

X Description: [CVPR2025] The implementation of Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning - tf63/ACMap

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https://github.com/tf63/ACMap#adapter-merging-with-centroid-prototype-mapping--for-scalable-class-incremental-learning
https://github.com/tf63/ACMap/stargazers
https://arxiv.org/abs/2412.18219
https://cvpr.thecvf.com/virtual/2025/poster/32443
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Our paper has been accepted to CVPR2025!!https://openaccess.thecvf.com/content/CVPR2025/html/Fukuda_Adapter_Merging_with_Centroid_Prototype_Mapping_for_Scalable_Class-Incremental_Learning_CVPR_2025_paper.html
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Deep Class-Incremental Learning: A Surveyhttps://github.com/zhoudw-zdw/CIL_Survey
PILOT: A Pre-Trained Model-Based Continual Learning Toolboxhttps://github.com/sun-hailong/LAMDA-PILOT
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Needhttps://github.com/zhoudw-zdw/RevisitingCIL
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learninghttps://github.com/sun-hailong/CVPR24-Ease
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