IPF-RDA: An Information-Preserving Framework for Robust Data Augmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Suorong, Yang, Hongchao, Guo, Suhan, Shen, Furao, Zhao, Jian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification
by: Yang, Suorong, et al.
Published: (2024)
by: Yang, Suorong, et al.
Published: (2024)
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation
by: Yang, Suorong, et al.
Published: (2024)
by: Yang, Suorong, et al.
Published: (2024)
A CLIP-Powered Framework for Robust and Generalizable Data Selection
by: Yang, Suorong, et al.
Published: (2024)
by: Yang, Suorong, et al.
Published: (2024)
RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment
by: Yang, Suorong, et al.
Published: (2025)
by: Yang, Suorong, et al.
Published: (2025)
When Dynamic Data Selection Meets Data Augmentation
by: Yang, Suorong, et al.
Published: (2025)
by: Yang, Suorong, et al.
Published: (2025)
Structure-Level Disentangled Diffusion for Few-Shot Chinese Font Generation
by: Li, Jie, et al.
Published: (2026)
by: Li, Jie, et al.
Published: (2026)
On-the-Fly Data Augmentation via Gradient-Guided and Sample-Aware Influence Estimation
by: Yang, Suorong, et al.
Published: (2025)
by: Yang, Suorong, et al.
Published: (2025)
Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning
by: Yang, Suorong, et al.
Published: (2025)
by: Yang, Suorong, et al.
Published: (2025)
Data Agent: Learning to Select Data via End-to-End Dynamic Optimization
by: Yang, Suorong, et al.
Published: (2026)
by: Yang, Suorong, et al.
Published: (2026)
$Δ$-AttnMask: Attention-Guided Masked Hidden States for Efficient Data Selection and Augmentation
by: Hu, Jucheng, et al.
Published: (2025)
by: Hu, Jucheng, et al.
Published: (2025)
Region-Guided Attack on the Segment Anything Model (SAM)
by: Liu, Xiaoliang, et al.
Published: (2024)
by: Liu, Xiaoliang, et al.
Published: (2024)
Exposing Hallucinations To Suppress Them: VLMs Representation Editing With Generative Anchors
by: Shi, Youxu, et al.
Published: (2025)
by: Shi, Youxu, et al.
Published: (2025)
One-shot Optimized Steering Vector for Hallucination Mitigation for VLMs
by: Shi, Youxu, et al.
Published: (2026)
by: Shi, Youxu, et al.
Published: (2026)
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
by: Huang, Zhenglin, et al.
Published: (2023)
by: Huang, Zhenglin, et al.
Published: (2023)
Interactive Instance Annotation with Siamese Networks
by: Xu, Xiang, et al.
Published: (2025)
by: Xu, Xiang, et al.
Published: (2025)
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
by: Tu, Dunwei, et al.
Published: (2025)
by: Tu, Dunwei, et al.
Published: (2025)
Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning
by: Tu, Dunwei, et al.
Published: (2024)
by: Tu, Dunwei, et al.
Published: (2024)
Efficient Token Compression for Vision Transformer with Spatial Information Preserved
by: Mao, Junzhu, et al.
Published: (2025)
by: Mao, Junzhu, et al.
Published: (2025)
On the Importance of Conditioning for Privacy-Preserving Data Augmentation
by: Lorenz, Julian, et al.
Published: (2025)
by: Lorenz, Julian, et al.
Published: (2025)
DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation
by: Hu, Jiaming, et al.
Published: (2025)
by: Hu, Jiaming, et al.
Published: (2025)
Data Augmentation for Text-based Person Retrieval Using Large Language Models
by: Li, Zheng, et al.
Published: (2024)
by: Li, Zheng, et al.
Published: (2024)
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision
by: Dong, Yiting, et al.
Published: (2024)
by: Dong, Yiting, et al.
Published: (2024)
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models
by: Islam, Khawar, et al.
Published: (2024)
by: Islam, Khawar, et al.
Published: (2024)
Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation
by: Cheng, Zihan, et al.
Published: (2025)
by: Cheng, Zihan, et al.
Published: (2025)
KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation Approach
by: Kumar, Teerath, et al.
Published: (2024)
by: Kumar, Teerath, et al.
Published: (2024)
Explaining Model Overfitting in CNNs via GMM Clustering
by: Dou, Hui, et al.
Published: (2024)
by: Dou, Hui, et al.
Published: (2024)
Generator-Refiner-Examiner: A Tri-Module Data Augmentation Framework for 3D Human Avatar Learning from Monocular Videos
by: Zhang, Gangjian, et al.
Published: (2026)
by: Zhang, Gangjian, et al.
Published: (2026)
Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation
by: Yu, Li, et al.
Published: (2024)
by: Yu, Li, et al.
Published: (2024)
Decomposition of Neural Discrete Representations for Large-Scale 3D Mapping
by: Park, Minseong, et al.
Published: (2024)
by: Park, Minseong, et al.
Published: (2024)
SRMF: A Data Augmentation and Multimodal Fusion Approach for Long-Tail UHR Satellite Image Segmentation
by: Guo, Yulong, et al.
Published: (2025)
by: Guo, Yulong, et al.
Published: (2025)
Better YOLO with Attention-Augmented Network and Enhanced Generalization Performance for Safety Helmet Detection
by: Shen, Shuqi, et al.
Published: (2024)
by: Shen, Shuqi, et al.
Published: (2024)
IBCapsNet: Information Bottleneck Capsule Network for Noise-Robust Representation Learning
by: Xiang, Canqun, et al.
Published: (2026)
by: Xiang, Canqun, et al.
Published: (2026)
Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective
by: Zhang, Ruixuan, et al.
Published: (2025)
by: Zhang, Ruixuan, et al.
Published: (2025)
Dual-Attention Frequency Fusion at Multi-Scale for Joint Segmentation and Deformable Medical Image Registration
by: Zhou, Hongchao, et al.
Published: (2024)
by: Zhou, Hongchao, et al.
Published: (2024)
Customized Generation Reimagined: Fidelity and Editability Harmonized
by: Jin, Jian, et al.
Published: (2024)
by: Jin, Jian, et al.
Published: (2024)
WildActor: Unconstrained Identity-Preserving Video Generation
by: Guo, Qin, et al.
Published: (2026)
by: Guo, Qin, et al.
Published: (2026)
Salient Information Preserving Adversarial Training Improves Clean and Robust Accuracy
by: Redgrave, Timothy, et al.
Published: (2025)
by: Redgrave, Timothy, et al.
Published: (2025)
Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging
by: Zhao, Zehui, et al.
Published: (2024)
by: Zhao, Zehui, et al.
Published: (2024)
An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation
by: Zuo, Zheming, et al.
Published: (2024)
by: Zuo, Zheming, et al.
Published: (2024)
SMFormer: Empowering Self-supervised Stereo Matching via Foundation Models and Data Augmentation
by: Wang, Yun, et al.
Published: (2026)
by: Wang, Yun, et al.
Published: (2026)
Similar Items
-
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification
by: Yang, Suorong, et al.
Published: (2024) -
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation
by: Yang, Suorong, et al.
Published: (2024) -
A CLIP-Powered Framework for Robust and Generalizable Data Selection
by: Yang, Suorong, et al.
Published: (2024) -
RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment
by: Yang, Suorong, et al.
Published: (2025) -
When Dynamic Data Selection Meets Data Augmentation
by: Yang, Suorong, et al.
Published: (2025)