ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.02328
  4. Cited By
Decompose, Adjust, Compose: Effective Normalization by Playing with
  Frequency for Domain Generalization

Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization

4 March 2023
Sangrok Lee
Jongseong Bae
Ha Young Kim
    OOD
ArXivPDFHTML

Papers citing "Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization"

19 / 19 papers shown
Title
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
Jindong Li
Y. Li
Yali Fu
Jiahong Liu
Yixin Liu
Menglin Yang
Irwin King
VLM
36
0
0
19 Apr 2025
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic
  Segmentation
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
Jintao Tong
Yixiong Zou
Yuhua Li
Ruixuan Li
25
0
0
29 Oct 2024
Generalization Boosted Adapter for Open-Vocabulary Segmentation
Generalization Boosted Adapter for Open-Vocabulary Segmentation
Wenhao Xu
Changwei Wang
Xuxiang Feng
Rongtao Xu
Longzhao Huang
Zherui Zhang
Li Guo
Shibiao Xu
VLM
23
1
0
13 Sep 2024
Domain-invariant Progressive Knowledge Distillation for UAV-based Object
  Detection
Domain-invariant Progressive Knowledge Distillation for UAV-based Object Detection
Liang Yao
Fan Liu
Chuanyi Zhang
Zhiquan Ou
Ting Wu
VLM
33
4
0
21 Aug 2024
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic
  Segmentation
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation
Jingjun Yi
Qi Bi
Hao Zheng
Haolan Zhan
Wei Ji
Yawen Huang
Yuexiang Li
Yefeng Zheng
16
8
0
26 Jul 2024
Causality-inspired Discriminative Feature Learning in Triple Domains for
  Gait Recognition
Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition
Haijun Xiong
Bin Feng
Xinggang Wang
Wenyu Liu
CVBM
24
2
0
17 Jul 2024
ED-SAM: An Efficient Diffusion Sampling Approach to Domain
  Generalization in Vision-Language Foundation Models
ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models
Thanh-Dat Truong
Xin Li
Bhiksha Raj
Jackson Cothren
Khoa Luu
DiffM
VLM
25
1
0
03 Jun 2024
PracticalDG: Perturbation Distillation on Vision-Language Models for
  Hybrid Domain Generalization
PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization
Zining Chen
Weiqiu Wang
Zhicheng Zhao
Fei Su
Aidong Men
Hongying Meng
VLM
25
7
0
13 Apr 2024
SETA: Semantic-Aware Token Augmentation for Domain Generalization
SETA: Semantic-Aware Token Augmentation for Domain Generalization
Jintao Guo
Lei Qi
Yinghuan Shi
Yang Gao
ViT
16
1
0
18 Mar 2024
Direct Distillation between Different Domains
Direct Distillation between Different Domains
Jialiang Tang
Shuo Chen
Gang Niu
Hongyuan Zhu
Joey Tianyi Zhou
Chen Gong
Masashi Sugiyama
47
3
0
12 Jan 2024
Learning Generalizable Models via Disentangling Spurious and Enhancing
  Potential Correlations
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations
Na Wang
Lei Qi
Jintao Guo
Yinghuan Shi
Yang Gao
OOD
17
4
0
11 Jan 2024
Frequency Domain Modality-invariant Feature Learning for
  Visible-infrared Person Re-Identification
Frequency Domain Modality-invariant Feature Learning for Visible-infrared Person Re-Identification
Yulin Li
Tianzhu Zhang
Yongdong Zhang
13
2
0
03 Jan 2024
Diversifying Spatial-Temporal Perception for Video Domain Generalization
Diversifying Spatial-Temporal Perception for Video Domain Generalization
Kun-Yu Lin
Jia-Run Du
Yipeng Gao
Jiaming Zhou
Wei-Shi Zheng
23
7
0
27 Oct 2023
INSURE: An Information Theory Inspired Disentanglement and Purification
  Model for Domain Generalization
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization
Xi Yu
Huan-Hsin Tseng
Shinjae Yoo
Haibin Ling
Yuewei Lin
OOD
8
9
0
08 Sep 2023
DomainDrop: Suppressing Domain-Sensitive Channels for Domain
  Generalization
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization
Jintao Guo
Lei Qi
Yinghuan Shi
OOD
20
10
0
20 Aug 2023
Test-time Fourier Style Calibration for Domain Generalization
Test-time Fourier Style Calibration for Domain Generalization
Xingchen Zhao
Chang Liu
Anthony Sicilia
Seong Jae Hwang
Yunong Fu
TTA
OOD
29
34
0
13 May 2022
SelfReg: Self-supervised Contrastive Regularization for Domain
  Generalization
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
Daehee Kim
Seunghyun Park
Jinkyu Kim
Jaekoo Lee
OOD
SSL
62
260
0
20 Apr 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
888
0
02 Mar 2020
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,300
0
28 May 2015
1