ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning

11 May 2022

Papers citing "ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning"

7 / 7 papers shown

Title
Towards Few-Shot Learning in the Open World: A Review and Beyond Hui Xue Yuexuan An Yongchun Qin Wenqian Li Yixin Wu Yongjuan Che Pengfei Fang Minling Zhang OffRL 46 1 0 19 Aug 2024
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning Huali Xu Li Liu Shuaifeng Zhi Shaojing Fu Z. Su Ming-Ming Cheng Yongxiang Liu 50 10 0 04 Mar 2024
A Survey of Deep Visual Cross-Domain Few-Shot Learning Wenjian Wang Lijuan Duan Yuxi Wang Junsong Fan Zhi Gong Zhaoxiang Zhang 19 5 0 16 Mar 2023
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 41 342 0 13 May 2022
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 174 639 0 19 Sep 2019
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 284 11,681 0 09 Mar 2017