ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning

11 October 2022

Papers citing "ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning"

8 / 8 papers shown

Title
TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation Jiaqi Yang Ye Huang Jingxi Hu Xiangjian He Linlin Shen Guoping Qiu VLM 55 1 0 31 Dec 2024
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
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
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 29 13 0 15 Mar 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning Yu Fu Yu Xie Yanwei Fu Yugang Jiang 25 31 0 18 Feb 2023
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 123 1 0 19 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 245 782 0 05 Dec 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 284 11,681 0 09 Mar 2017