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Domain Generalization Using Large Pretrained Models with
Mixture-of-Adapters

Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023

17 October 2023

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Papers citing "Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters"

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Title
GNN-MoE: Context-Aware Patch Routing using GNNs for Parameter-Efficient Domain Generalization Mahmoud Soliman Omar Abdelaziz Ahmed Radwan Anand Mohamed S. Shehata MoE 319 0 0 06 Nov 2025
Domain Generalization in-the-Wild: Disentangling Classification from Domain-Aware Representations Ha Min Son Zhe Zhao Shahbaz Rezaei Xin Liu 153 0 0 29 Aug 2025
Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts Xi Chen Shen Yan Juelin Zhu Chen Chen Yu Liu Maojun Zhang 181 1 0 20 May 2025
MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning Qizhe Zhang Bocheng Zou Ruichuan An Jiaming Liu Shanghang Zhang MoE 225 6 0 05 Dec 2023
Generalization in Neural Networks: A Broad SurveyNeurocomputing (Neurocomputing), 2022 Chris Rohlfs OOD AI4CE 201 15 0 04 Sep 2022
CLIP-Adapter: Better Vision-Language Models with Feature AdaptersInternational Journal of Computer Vision (IJCV), 2021 Shiyang Feng Shijie Geng Renrui Zhang Teli Ma Rongyao Fang Zelong Li Jiaming Song Yu Qiao VLM CLIP 935 1,380 0 09 Oct 2021