EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Suorong, Shen, Furao, Zhao, Jian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
IPF-RDA: An Information-Preserving Framework for Robust Data Augmentation
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)
RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment
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)
A CLIP-Powered Framework for Robust and Generalizable Data Selection
by: Yang, Suorong, et al.
Published: (2024)
by: Yang, Suorong, et al.
Published: (2024)
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)
$Δ$-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)
Soft Augmentation for Image Classification
by: Liu, Yang, et al.
Published: (2022)
by: Liu, Yang, et al.
Published: (2022)
Enhancing Image Classification with Augmentation: Data Augmentation Techniques for Improved Image Classification
by: Kumar, Saorj, et al.
Published: (2025)
by: Kumar, Saorj, 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)
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)
Knowledge Augmentation via Synthetic Data: A Framework for Real-World ECG Image Classification
by: Wang, Xiaoyu, et al.
Published: (2025)
by: Wang, Xiaoyu, et al.
Published: (2025)
Decoupled Data Augmentation for Improving Image Classification
by: Chen, Ruoxin, et al.
Published: (2024)
by: Chen, Ruoxin, et al.
Published: (2024)
Region-Guided Attack on the Segment Anything Model (SAM)
by: Liu, Xiaoliang, et al.
Published: (2024)
by: Liu, Xiaoliang, et al.
Published: (2024)
Data-Driven Analysis of Intersectional Bias in Image Classification: A Framework with Bias-Weighted Augmentation
by: Yesmin, Farjana
Published: (2025)
by: Yesmin, Farjana
Published: (2025)
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification
by: Zhu, Yaoyao, et al.
Published: (2024)
by: Zhu, Yaoyao, et al.
Published: (2024)
Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification
by: Wang, Yanghao, et al.
Published: (2024)
by: Wang, Yanghao, et al.
Published: (2024)
GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification
by: Lee, Hansang, et al.
Published: (2024)
by: Lee, Hansang, et al.
Published: (2024)
Exploring the Equivalence of Closed-Set Generative and Real Data Augmentation in Image Classification
by: Wang, Haowen, et al.
Published: (2025)
by: Wang, Haowen, et al.
Published: (2025)
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis
by: Liu, Zhaoshan, et al.
Published: (2023)
by: Liu, Zhaoshan, et al.
Published: (2023)
Frozen Feature Augmentation for Few-Shot Image Classification
by: Bär, Andreas, et al.
Published: (2024)
by: Bär, Andreas, et al.
Published: (2024)
Class-specific Data Augmentation for Plant Stress Classification
by: Saleem, Nasla, et al.
Published: (2024)
by: Saleem, Nasla, et al.
Published: (2024)
Adaptive Sensitivity Analysis for Robust Augmentation against Natural Corruptions in Image Segmentation
by: Zheng, Laura, et al.
Published: (2024)
by: Zheng, Laura, et al.
Published: (2024)
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)
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)
One-shot Optimized Steering Vector for Hallucination Mitigation for VLMs
by: Shi, Youxu, et al.
Published: (2026)
by: Shi, Youxu, et al.
Published: (2026)
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)
Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification
by: Gheorghiu, Adrian, et al.
Published: (2024)
by: Gheorghiu, Adrian, et al.
Published: (2024)
GridMask Data Augmentation
by: Chen, Pengguang, et al.
Published: (2020)
by: Chen, Pengguang, et al.
Published: (2020)
Patch Stitching Data Augmentation for Cancer Classification in Pathology Images
by: Wang, Jiamu, et al.
Published: (2025)
by: Wang, Jiamu, et al.
Published: (2025)
Combined Image Data Augmentations diminish the benefits of Adaptive Label Smoothing
by: Siedel, Georg, et al.
Published: (2025)
by: Siedel, Georg, et al.
Published: (2025)
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)
Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification
by: Koh, GaYeon, et al.
Published: (2025)
by: Koh, GaYeon, et al.
Published: (2025)
AHS: Adaptive Head Synthesis via Synthetic Data Augmentations
by: Kang, Taewoong, et al.
Published: (2026)
by: Kang, Taewoong, et al.
Published: (2026)
Sample-aware RandAugment: Search-free Automatic Data Augmentation for Effective Image Recognition
by: Xiao, Anqi, et al.
Published: (2025)
by: Xiao, Anqi, et al.
Published: (2025)
DAug: Diffusion-based Channel Augmentation for Radiology Image Retrieval and Classification
by: Jin, Ying, et al.
Published: (2024)
by: Jin, Ying, 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)
Unified Framework for Histopathology Image Augmentation and Classification via Generative Models
by: Li, Meng, et al.
Published: (2022)
by: Li, Meng, et al.
Published: (2022)
Similar Items
-
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation
by: Yang, Suorong, et al.
Published: (2024) -
IPF-RDA: An Information-Preserving Framework for Robust Data Augmentation
by: Yang, Suorong, et al.
Published: (2025) -
When Dynamic Data Selection Meets Data Augmentation
by: Yang, Suorong, et al.
Published: (2025) -
RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment
by: Yang, Suorong, et al.
Published: (2025) -
Structure-Level Disentangled Diffusion for Few-Shot Chinese Font Generation
by: Li, Jie, et al.
Published: (2026)