A Survey of Deep Visual Cross-Domain Few-Shot Learning

16 March 2023

Papers citing "A Survey of Deep Visual Cross-Domain Few-Shot Learning"

9 / 9 papers shown

Title
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning Linhai Zhuo Yu Fu Jingjing Chen Yixin Cao Yu-Gang Jiang 46 11 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 29 19 0 22 Sep 2022
iFS-RCNN: An Incremental Few-shot Instance Segmenter Khoi Duc Minh Nguyen S. Todorovic ISeg CLL 38 20 0 31 May 2022
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift Wenyu Zhang Li Shen Wanyue Zhang Chuan-Sheng Foo TTA 28 17 0 30 May 2022
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer Zhihe Lu Sen He Xiatian Zhu Li Zhang Yi-Zhe Song Tao Xiang ViT 158 171 0 06 Aug 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding Sheng Huang Wanqi Yang Lei Wang Luping Zhou Ming Yang 20 8 0 06 Aug 2021
Few-shot Open-set Recognition by Transformation Consistency Minki Jeong Seokeon Choi Changick Kim 33 44 0 02 Mar 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer Jian Liang Dapeng Hu Yunbo Wang R. He Jiashi Feng 128 249 0 14 Dec 2020
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf H. Kervadec Imtiaz Masud Ziko Pablo Piantanida Ismail Ben Ayed Jose Dolz VLM 163 186 0 11 Dec 2020