Few-Shot Learning by Integrating Spatial and Frequency Representation

v1v2 (latest)

Few-Shot Learning by Integrating Spatial and Frequency Representation

11 May 2021

ArXiv (abs)PDF HTML

Papers citing "Few-Shot Learning by Integrating Spatial and Frequency Representation"

9 / 9 papers shown

Title
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning Fei Zhou Peng Wang Lei Zhang Zhaoyu Chen Wei Wei Chen Ding Guosheng Lin Yanning Zhang 115 1 0 03 Nov 2024
The Balanced-Pairwise-Affinities Feature Transform Daniel Shalam Simon Korman 108 1 0 25 Jun 2024
Image edge enhancement for effective image classification Tianhao Bu Michalis Lazarou Tania Stathaki 33 2 0 13 Jan 2024
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets Xiangyu Chen Qinghao Hu Kaidong Li Cuncong Zhong Guanghui Wang ViT 81 13 0 22 Oct 2022
Class-Specific Channel Attention for Few-Shot Learning Ying-Cong Chen J. Hsieh Ming-Ching Chang 92 0 0 03 Sep 2022
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation Hegui Zhu Zhan Gao Jiayi Wang Yangqiaoyu Zhou Chengqing Li 108 7 0 18 Jul 2022
The Self-Optimal-Transport Feature Transform Daniel Shalam Simon Korman OT 65 22 0 06 Apr 2022
Audio-Visual Transformer Based Crowd Counting Usman Sajid Xiangyu Chen Hasan Sajid Taejoon Kim Guanghui Wang ViT 100 22 0 04 Sep 2021
Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation Yiju Yang Taejoon Kim Guanghui Wang 95 4 0 02 Aug 2021