A data-centric approach to class-specific bias in image data augmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Angelakis, Athanasios, Rass, Andrey |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
hZACH-ViT: Curved Latent Geometry for Compact Vision Transformers in Low-Data Medical Imaging
by: Angelakis, Athanasios
Published: (2026)
by: Angelakis, Athanasios
Published: (2026)
Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes
by: Angelakis, Athanasios, et al.
Published: (2026)
by: Angelakis, Athanasios, et al.
Published: (2026)
ZACH-ViT: Regime-Dependent Inductive Bias in Compact Vision Transformers for Medical Imaging
by: Angelakis, Athanasios
Published: (2026)
by: Angelakis, Athanasios
Published: (2026)
An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification
by: Dorneles, Lucas M., et al.
Published: (2025)
by: Dorneles, Lucas M., et al.
Published: (2025)
Motion Transfer-Driven intra-class data augmentation for Finger Vein Recognition
by: Huang, Xiu-Feng, et al.
Published: (2024)
by: Huang, Xiu-Feng, et al.
Published: (2024)
Generative data augmentation for biliary tract detection on intraoperative images
by: Iacono, Cristina, et al.
Published: (2025)
by: Iacono, Cristina, et al.
Published: (2025)
An assessment of data-centric methods for label noise identification in remote sensing data sets
by: Kröber, Felix, et al.
Published: (2026)
by: Kröber, Felix, et al.
Published: (2026)
Sequential Hard Mining: a data-centric approach for Mitosis Detection
by: Lafarge, Maxime W., et al.
Published: (2025)
by: Lafarge, Maxime W., et al.
Published: (2025)
On the power of data augmentation for head pose estimation
by: Welter, Michael
Published: (2024)
by: Welter, Michael
Published: (2024)
Hyperspectral data augmentation with transformer-based diffusion models
by: Ferrari, Mattia, et al.
Published: (2025)
by: Ferrari, Mattia, et al.
Published: (2025)
OxML Challenge 2023: Carcinoma classification using data augmentation
by: Raj, Kislay, et al.
Published: (2024)
by: Raj, Kislay, et al.
Published: (2024)
Diabetic retinopathy image classification method based on GreenBen data augmentation
by: Liu, Yutong, et al.
Published: (2024)
by: Liu, Yutong, et al.
Published: (2024)
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
by: Mumuni, Alhassan, et al.
Published: (2024)
by: Mumuni, Alhassan, et al.
Published: (2024)
Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation
by: Sultana, Rebeka, et al.
Published: (2025)
by: Sultana, Rebeka, et al.
Published: (2025)
ContextMix: A context-aware data augmentation method for industrial visual inspection systems
by: Kim, Hyungmin, et al.
Published: (2024)
by: Kim, Hyungmin, et al.
Published: (2024)
Single-image driven 3d viewpoint training data augmentation for effective wine label recognition
by: Huang, Yueh-Cheng, et al.
Published: (2024)
by: Huang, Yueh-Cheng, et al.
Published: (2024)
Synthetic data augmentation for robotic mobility aids to support blind and low vision people
by: Hwang, Hochul, et al.
Published: (2024)
by: Hwang, Hochul, et al.
Published: (2024)
Style transfer as data augmentation: evaluating unpaired image-to-image translation models in mammography
by: Ahmed, Emir, et al.
Published: (2025)
by: Ahmed, Emir, et al.
Published: (2025)
Enhancing autonomous vehicle safety in rain: a data-centric approach for clear vision
by: Seferian, Mark A., et al.
Published: (2024)
by: Seferian, Mark A., et al.
Published: (2024)
Image compositing is all you need for data augmentation
by: Shermaine, Ang Jia Ning, et al.
Published: (2025)
by: Shermaine, Ang Jia Ning, et al.
Published: (2025)
Image augmentation with invertible networks in interactive satellite image change detection
by: Sahbi, Hichem
Published: (2025)
by: Sahbi, Hichem
Published: (2025)
EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos
by: Xu, Jilan, et al.
Published: (2025)
by: Xu, Jilan, et al.
Published: (2025)
Can the accuracy bias by facial hairstyle be reduced through balancing the training data?
by: Ozturk, Kagan, et al.
Published: (2024)
by: Ozturk, Kagan, et al.
Published: (2024)
Image class translation: visual inspection of class-specific hypotheticals and classification based on translation distance
by: Bowen, Mikyla K., et al.
Published: (2024)
by: Bowen, Mikyla K., et al.
Published: (2024)
Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data
by: Singla, Ayush, et al.
Published: (2024)
by: Singla, Ayush, et al.
Published: (2024)
Enhancing weed detection performance by means of GenAI-based image augmentation
by: Modak, Sourav, et al.
Published: (2024)
by: Modak, Sourav, et al.
Published: (2024)
Are generative models fair? A study of racial bias in dermatological image generation
by: López-Pérez, Miguel, et al.
Published: (2025)
by: López-Pérez, Miguel, et al.
Published: (2025)
A survey of synthetic data augmentation methods in computer vision
by: Mumuni, Alhassan, et al.
Published: (2024)
by: Mumuni, Alhassan, et al.
Published: (2024)
CM1 -- A Dataset for Evaluating Few-Shot Information Extraction with Large Vision Language Models
by: Wolf, Fabian, et al.
Published: (2025)
by: Wolf, Fabian, et al.
Published: (2025)
Grid-augmented vision: A simple yet effective approach for enhanced spatial understanding in multi-modal agents
by: Chae, Joongwon, et al.
Published: (2024)
by: Chae, Joongwon, et al.
Published: (2024)
Memory augment is All You Need for image restoration
by: Zhang, Xiao Feng, et al.
Published: (2023)
by: Zhang, Xiao Feng, et al.
Published: (2023)
An evaluation of CNN models and data augmentation techniques in hierarchical localization of mobile robots
by: Cabrera, J. J., et al.
Published: (2024)
by: Cabrera, J. J., et al.
Published: (2024)
A Unified Framework for Human-centric Point Cloud Video Understanding
by: Xu, Yiteng, et al.
Published: (2024)
by: Xu, Yiteng, et al.
Published: (2024)
Rethinking Image-to-Video Adaptation: An Object-centric Perspective
by: Qian, Rui, et al.
Published: (2024)
by: Qian, Rui, et al.
Published: (2024)
Efficient Multimodal Learning from Data-centric Perspective
by: He, Muyang, et al.
Published: (2024)
by: He, Muyang, et al.
Published: (2024)
Controllable Human-centric Keyframe Interpolation with Generative Prior
by: Guo, Zujin, et al.
Published: (2025)
by: Guo, Zujin, et al.
Published: (2025)
Ego-centric Predictive Model Conditioned on Hand Trajectories
by: Zhang, Binjie, et al.
Published: (2025)
by: Zhang, Binjie, et al.
Published: (2025)
Identifying bias in CNN image classification using image scrambling and transforms
by: Erukude, Sai Teja
Published: (2025)
by: Erukude, Sai Teja
Published: (2025)
Are handcrafted filters helpful for attributing AI-generated images?
by: Li, Jialiang, et al.
Published: (2024)
by: Li, Jialiang, et al.
Published: (2024)
Regional biases in image geolocation estimation: a case study with the SenseCity Africa dataset
by: Uribe, Ximena Salgado, et al.
Published: (2024)
by: Uribe, Ximena Salgado, et al.
Published: (2024)
Similar Items
-
hZACH-ViT: Curved Latent Geometry for Compact Vision Transformers in Low-Data Medical Imaging
by: Angelakis, Athanasios
Published: (2026) -
Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes
by: Angelakis, Athanasios, et al.
Published: (2026) -
ZACH-ViT: Regime-Dependent Inductive Bias in Compact Vision Transformers for Medical Imaging
by: Angelakis, Athanasios
Published: (2026) -
An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification
by: Dorneles, Lucas M., et al.
Published: (2025) -
Motion Transfer-Driven intra-class data augmentation for Finger Vein Recognition
by: Huang, Xiu-Feng, et al.
Published: (2024)