Data Augmentation For Small Object using Fast AutoAugment
Fuente:
arXiv
Saved in:
| Main Authors: | Yoon, DaeEun, Kim, Semin, Yoo, SangWook, Lee, Jongha |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
False Positive Sampling-based Data Augmentation for Enhanced 3D Object Detection Accuracy
by: Oh, Jiyong, et al.
Published: (2024)
by: Oh, Jiyong, et al.
Published: (2024)
Learning an Ensemble Token from Task-driven Priors in Facial Analysis
by: Seo, Sunyong, et al.
Published: (2025)
by: Seo, Sunyong, et al.
Published: (2025)
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers
by: Kim, Bum Jun, et al.
Published: (2024)
by: Kim, Bum Jun, et al.
Published: (2024)
Coreset Selection for Object Detection
by: Lee, Hojun, et al.
Published: (2024)
by: Lee, Hojun, et al.
Published: (2024)
Enhancing Image Classification in Small and Unbalanced Datasets through Synthetic Data Augmentation
by: De La Fuente, Neil, et al.
Published: (2024)
by: De La Fuente, Neil, et al.
Published: (2024)
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
by: Hwang, Uiwon, et al.
Published: (2024)
by: Hwang, Uiwon, et al.
Published: (2024)
Denoised Diffusion for Object-Focused Image Augmentation
by: Pillai, Nisha
Published: (2025)
by: Pillai, Nisha
Published: (2025)
Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation
by: Moon, Jaeho, et al.
Published: (2024)
by: Moon, Jaeho, et al.
Published: (2024)
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations
by: Qu, Helen, et al.
Published: (2024)
by: Qu, Helen, et al.
Published: (2024)
Towards Understanding Why Data Augmentation Improves Generalization
by: Li, Jingyang, et al.
Published: (2025)
by: Li, Jingyang, et al.
Published: (2025)
Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability
by: Won, Soyoun, et al.
Published: (2023)
by: Won, Soyoun, et al.
Published: (2023)
Generative Spatiotemporal Data Augmentation
by: Zhou, Jinfan, et al.
Published: (2025)
by: Zhou, Jinfan, et al.
Published: (2025)
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks
by: Anwar, Aqeel, et al.
Published: (2024)
by: Anwar, Aqeel, et al.
Published: (2024)
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)
Model Debiasing by Learnable Data Augmentation
by: Morerio, Pietro, et al.
Published: (2024)
by: Morerio, Pietro, et al.
Published: (2024)
Retrieval-Augmented Score Distillation for Text-to-3D Generation
by: Seo, Junyoung, et al.
Published: (2024)
by: Seo, Junyoung, et al.
Published: (2024)
Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models
by: Kim, Gahyeon, et al.
Published: (2025)
by: Kim, Gahyeon, et al.
Published: (2025)
Robustness of Visual Explanations to Common Data Augmentation
by: Tětková, Lenka, et al.
Published: (2023)
by: Tětková, Lenka, et al.
Published: (2023)
Data-Augmented Quantization-Aware Knowledge Distillation
by: Kur, Justin, et al.
Published: (2025)
by: Kur, Justin, et al.
Published: (2025)
Controlled Face Manipulation and Synthesis for Data Augmentation
by: Kirchner, Joris, et al.
Published: (2026)
by: Kirchner, Joris, et al.
Published: (2026)
Optimal Layer Selection for Latent Data Augmentation
by: Takase, Tomoumi, et al.
Published: (2024)
by: Takase, Tomoumi, et al.
Published: (2024)
RA-RRG: Multimodal Retrieval-Augmented Radiology Report Generation with Key Phrase Extraction
by: Park, Jonggwon, et al.
Published: (2025)
by: Park, Jonggwon, et al.
Published: (2025)
Key-Exchange Convolutional Auto-Encoder for Data Augmentation in Early Knee Osteoarthritis Detection
by: Wang, Zhe, et al.
Published: (2023)
by: Wang, Zhe, et al.
Published: (2023)
Exploring the Hierarchical Reasoning Model for Small Natural-Image Classification Without Augmentation
by: Mantzaris, Alexander V.
Published: (2025)
by: Mantzaris, Alexander V.
Published: (2025)
Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion
by: Casarin, Sofia, et al.
Published: (2024)
by: Casarin, Sofia, et al.
Published: (2024)
Understanding the Detrimental Class-level Effects of Data Augmentation
by: Kirichenko, Polina, et al.
Published: (2023)
by: Kirichenko, Polina, et al.
Published: (2023)
Diffusion-Based Data Augmentation for Medical Image Segmentation
by: Nazir, Maham, et al.
Published: (2025)
by: Nazir, Maham, et al.
Published: (2025)
Group Relative Augmentation for Data Efficient Action Detection
by: Patel, Deep Anil, et al.
Published: (2025)
by: Patel, Deep Anil, et al.
Published: (2025)
GeoMix: Towards Geometry-Aware Data Augmentation
by: Zhao, Wentao, et al.
Published: (2024)
by: Zhao, Wentao, et al.
Published: (2024)
Topology-Preserving Polygon Augmentation for Segmentation in Structured Visual Domains
by: Laudari, Sudip, et al.
Published: (2026)
by: Laudari, Sudip, et al.
Published: (2026)
Cross-Class Feature Augmentation for Class Incremental Learning
by: Kim, Taehoon, et al.
Published: (2023)
by: Kim, Taehoon, et al.
Published: (2023)
Centralized Copy-Paste: Enhanced Data Augmentation Strategy for Wildland Fire Semantic Segmentation
by: Kim, Joon Tai, et al.
Published: (2025)
by: Kim, Joon Tai, et al.
Published: (2025)
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition
by: Baik, Jae Soon, et al.
Published: (2022)
by: Baik, Jae Soon, et al.
Published: (2022)
Improving Personalisation in Valence and Arousal Prediction using Data Augmentation
by: Nwadike, Munachiso, et al.
Published: (2024)
by: Nwadike, Munachiso, et al.
Published: (2024)
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning
by: Pan, Zhixin, et al.
Published: (2024)
by: Pan, Zhixin, et al.
Published: (2024)
Understanding Flatness in Generative Models: Its Role and Benefits
by: Lee, Taehwan, et al.
Published: (2025)
by: Lee, Taehwan, et al.
Published: (2025)
On the Mechanisms of Adversarial Data Augmentation for Robust and Adaptive Transfer Learning
by: Satou, Hana, et al.
Published: (2025)
by: Satou, Hana, et al.
Published: (2025)
HandCraft: Dynamic Sign Generation for Synthetic Data Augmentation
by: Rios, Gaston Gustavo, et al.
Published: (2025)
by: Rios, Gaston Gustavo, et al.
Published: (2025)
MetaAug: Meta-Data Augmentation for Post-Training Quantization
by: Pham, Cuong, et al.
Published: (2024)
by: Pham, Cuong, et al.
Published: (2024)
Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise
by: Zhang, Hongyuan, et al.
Published: (2024)
by: Zhang, Hongyuan, et al.
Published: (2024)
Similar Items
-
False Positive Sampling-based Data Augmentation for Enhanced 3D Object Detection Accuracy
by: Oh, Jiyong, et al.
Published: (2024) -
Learning an Ensemble Token from Task-driven Priors in Facial Analysis
by: Seo, Sunyong, et al.
Published: (2025) -
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers
by: Kim, Bum Jun, et al.
Published: (2024) -
Coreset Selection for Object Detection
by: Lee, Hojun, et al.
Published: (2024) -
Enhancing Image Classification in Small and Unbalanced Datasets through Synthetic Data Augmentation
by: De La Fuente, Neil, et al.
Published: (2024)