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Cross Domain Generative Augmentation: Domain Generalization with Latent
  Diffusion Models

Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models

8 December 2023
S. Hemati
Mahdi Beitollahi
A. Estiri
Bassel Al Omari
Xi Chen
Guojun Zhang
ArXivPDFHTML

Papers citing "Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models"

9 / 9 papers shown
Title
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
Xavier Thomas
Deepti Ghadiyaram
DiffM
92
0
0
09 Mar 2025
Generalize or Detect? Towards Robust Semantic Segmentation Under
  Multiple Distribution Shifts
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
Zhitong Gao
Bingnan Li
Mathieu Salzmann
Xuming He
OOD
VLM
57
1
0
06 Nov 2024
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional
  Diffusion Models for Domain Generalization
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization
Mehrdad Noori
Milad Cheraghalikhani
Ali Bahri
G. A. V. Hakim
David Osowiechi
Moslem Yazdanpanah
Ismail Ben Ayed
Christian Desrosiers
54
1
0
04 Jul 2024
Parametric Feature Transfer: One-shot Federated Learning with Foundation
  Models
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models
Mahdi Beitollahi
Alex Bie
S. Hemati
Leo Maxime Brunswic
Xu Li
Xi Chen
Guojun Zhang
FedML
76
8
0
02 Feb 2024
A Survey on Data Augmentation in Large Model Era
A Survey on Data Augmentation in Large Model Era
Yue Zhou
Chenlu Guo
Xu Wang
Yi-Ju Chang
Yuan Wu
LM&MA
VLM
49
23
0
27 Jan 2024
Gradient Matching for Domain Generalization
Gradient Matching for Domain Generalization
Yuge Shi
Jeffrey S. Seely
Philip Torr
Siddharth Narayanaswamy
Awni Y. Hannun
Nicolas Usunier
Gabriel Synnaeve
OOD
227
246
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
901
0
02 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
308
2,890
0
15 Sep 2016
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
177
9,342
0
28 May 2015
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