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Few-Shot Learning by Integrating Spatial and Frequency Representation

Few-Shot Learning by Integrating Spatial and Frequency Representation

11 May 2021
Xiangyu Chen
Guanghui Wang
ArXivPDFHTML

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

7 / 7 papers shown
Title
The Balanced-Pairwise-Affinities Feature Transform
The Balanced-Pairwise-Affinities Feature Transform
Daniel Shalam
Simon Korman
38
0
0
25 Jun 2024
Class-Specific Channel Attention for Few-Shot Learning
Ying Chen
J. Hsieh
Ming-Ching Chang
15
0
0
03 Sep 2022
Few-shot Fine-grained Image Classification via Multi-Frequency
  Neighborhood and Double-cross Modulation
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation
Hegui Zhu
Zhan Gao
Jiayi Wang
Yangqiaoyu Zhou
Chengqing Li
13
6
0
18 Jul 2022
Audio-Visual Transformer Based Crowd Counting
Audio-Visual Transformer Based Crowd Counting
Usman Sajid
Xiangyu Chen
Hasan Sajid
Taejoon Kim
Guanghui Wang
ViT
35
22
0
04 Sep 2021
Multiple Classifiers Based Maximum Classifier Discrepancy for
  Unsupervised Domain Adaptation
Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Yiju Yang
Taejoon Kim
Guanghui Wang
47
2
0
02 Aug 2021
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from
  Monocular images
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images
Lei He
Jiwen Lu
Guanghui Wang
Shiyu Song
Jie Zhou
41
69
0
19 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,681
0
09 Mar 2017
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