Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Ruoqi, Wang, Haitao, Guo, Shaojie, Luo, Qiong
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

D-GAP: Improving Out-of-Domain Robustness via Dataset-Agnostic and Gradient-Guided Augmentation in Frequency and Pixel Spaces
by: Wang, Ruoqi, et al.
Published: (2025)

GalaxAlign: Mimicking Citizen Scientists' Multimodal Guidance for Galaxy Morphology Analysis
by: Wang, Ruoqi, et al.
Published: (2024)

Out-of-Domain Robustness via Targeted Augmentations
by: Gao, Irena, et al.
Published: (2023)

Improving Radio Interferometry Imaging by Explicitly Modeling Cross-Domain Consistency in Reconstruction
by: Cheng, Kai, et al.
Published: (2026)

VisRec: A Semi-Supervised Approach to Radio Interferometric Data Reconstruction
by: Wang, Ruoqi, et al.
Published: (2024)

Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
by: Wang, Siqi, et al.
Published: (2025)

Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations
by: Qu, Helen, et al.
Published: (2024)

FREPix: Frequency-Heterogeneous Flow Matching for Pixel-Space Image Generation
by: Lin, Mingfeng, et al.
Published: (2026)

DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
by: Li, Fengpeng, et al.
Published: (2024)

Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs
by: Chen, Lu, et al.
Published: (2025)

Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification
by: Vaish, Puru, et al.
Published: (2024)

Latent Domain Modeling Improves Robustness to Geographic Shifts
by: Crasto, Ruth, et al.
Published: (2025)

Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
by: Hamidieh, Kimia, et al.
Published: (2024)

Towards Combating Frequency Simplicity-biased Learning for Domain Generalization
by: He, Xilin, et al.
Published: (2024)

Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
by: Yao, Xincheng, et al.
Published: (2024)

On $f$-Divergence Principled Domain Adaptation: An Improved Framework
by: Wang, Ziqiao, et al.
Published: (2024)

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
by: Zhou, Zhi, et al.
Published: (2024)

Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation
by: Chen, Xiaohui, et al.
Published: (2024)

Video Prediction of Dynamic Physical Simulations With Pixel-Space Spatiotemporal Transformers
by: Slack, Dean L, et al.
Published: (2025)

Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation
by: Baade, Alan, et al.
Published: (2026)

Towards a Better Evaluation of Out-of-Domain Generalization
by: Hwang, Duhun, et al.
Published: (2024)

Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
by: Liu, Haoyang, et al.
Published: (2024)

FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
by: Han, Yuexing, et al.
Published: (2023)

Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models
by: NVIDIA, et al.
Published: (2024)

Pixel-Space Post-Training of Latent Diffusion Models
by: Zhang, Christina, et al.
Published: (2024)

VVTRec: Radio Interferometric Reconstruction through Visual and Textual Modality Enrichment
by: Cheng, Kai, et al.
Published: (2026)

FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed
by: Zhang, Jiaqi, et al.
Published: (2025)

Target-Oriented Single Domain Generalization
by: Heidari, Marzi, et al.
Published: (2025)

Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
by: Zhang, Jiacheng, et al.
Published: (2024)

FMC-DETR: Frequency-Decoupled Multi-Domain Coordination for Aerial-View Object Detection
by: Liang, Ben, et al.
Published: (2025)

Domain Generalization by Rejecting Extreme Augmentations
by: Aminbeidokhti, Masih, et al.
Published: (2023)

Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
by: Zhou, Andy, et al.
Published: (2023)

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation
by: Xu, Shijian
Published: (2025)

Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches
by: Bai, Haoyue
Published: (2024)

DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation
by: Hu, Jiaming, et al.
Published: (2025)

TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features
by: Pan, Hengyue, et al.
Published: (2024)

Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets
by: Ngnawe, Jonas, et al.
Published: (2023)

Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation
by: Vaish, Puru, et al.
Published: (2025)

Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models
by: Vasconcelos, Cristina N., et al.
Published: (2024)

DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation
by: Wang, Yunjuan, et al.
Published: (2024)