Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey

15 March 2023

Papers citing "Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey"

8 / 8 papers shown

Title
Transforming Game Play: A Comparative Study of DCQN and DTQN Architectures in Reinforcement Learning William A. Stigall 35 0 0 14 Oct 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 38 0 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 44 4 0 04 Mar 2024
Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation Jonas Herzog SSeg 28 0 0 27 Feb 2024
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector Yu Fu Yu Wang Yixuan Pan Lian Huai Xingyu Qiu Zeyu Shangguan Tong Liu Yanwei Fu Luc Van Gool Xingqun Jiang 28 2 0 05 Feb 2024
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning Linhai Zhuo Yu Fu Jingjing Chen Yixin Cao Yu-Gang Jiang 48 15 0 11 Oct 2022
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection Yipeng Gao Lingxiao Yang Yunmu Huang Song Xie Shiyong Li Weihao Zheng ObjD 31 19 0 22 Sep 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 234 11,568 0 09 Mar 2017