Cover Image

MoireMix: A Formula-Based Data Augmentation for Improving Image Classification Robustness

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Matsuo, Yuto, Fukuhara, Yoshihiro, Asano, Yuki M., Yanagi, Rintaro, Kataoka, Hirokatsu, Nakamura, Akio
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MoireDB: Formula-generated Interference-fringe Image Dataset
by: Matsuo, Yuto, et al.
Published: (2025)

PowerCLIP: Powerset Alignment for Contrastive Pre-Training
by: Kawamura, Masaki, et al.
Published: (2025)

3D sans 3D Scans: Scalable Pre-training from Video-Generated Point Clouds
by: Yamada, Ryousuke, et al.
Published: (2025)

CLIP-like Model as a Foundational Density Ratio Estimator
by: Uchiyama, Fumiya, et al.
Published: (2025)

Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding
by: Torimi, Kohei, et al.
Published: (2025)

Simple Visual Artifact Detection in Sora-Generated Videos
by: Sugiyama, Misora, et al.
Published: (2025)

FDIF: Formula-Driven supervised Learning with Implicit Functions for 3D Medical Image Segmentation
by: Yamamoto, Yukinori, et al.
Published: (2026)

Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation
by: Tadokoro, Ryu, et al.
Published: (2024)

S3OD: Towards Generalizable Salient Object Detection with Synthetic Data
by: Kupyn, Orest, et al.
Published: (2025)

Rethinking Image Super-Resolution from Training Data Perspectives
by: Ohtani, Go, et al.
Published: (2024)

Scaling Backwards: Minimal Synthetic Pre-training?
by: Nakamura, Ryo, et al.
Published: (2024)

Formula-Supervised Visual-Geometric Pre-training
by: Yamada, Ryosuke, et al.
Published: (2024)

Industrial Synthetic Segment Pre-training
by: Mae, Shinichi, et al.
Published: (2025)

Pre-training with 3D Synthetic Data: Learning 3D Point Cloud Instance Segmentation from 3D Synthetic Scenes
by: Otsuka, Daichi, et al.
Published: (2025)

Human Action Recognition without Human
by: Kataoka, Hirokatsu, et al.
Published: (2016)

Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models
by: Zhu, Peifei, et al.
Published: (2024)

Zero-shot Composed Image Retrieval Considering Query-target Relationship Leveraging Masked Image-text Pairs
by: Zhang, Huaying, et al.
Published: (2024)

Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection
by: Otake, Hina, et al.
Published: (2024)

Enhancing Image Classification with Augmentation: Data Augmentation Techniques for Improved Image Classification
by: Kumar, Saorj, et al.
Published: (2025)

Can masking background and object reduce static bias for zero-shot action recognition?
by: Fukuzawa, Takumi, et al.
Published: (2025)

Leveraging LLMs with Iterative Loop Structure for Enhanced Social Intelligence in Video Question Answering
by: Mori, Erika, et al.
Published: (2025)

NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models
by: Takezaki, Shumpei, et al.
Published: (2025)

The Effects of Short Video-Sharing Services on Video Copy Detection
by: Yanagi, Rintaro, et al.
Published: (2024)

On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process
by: Iwase, Shun, et al.
Published: (2025)

Approximate Domain Unlearning for Vision-Language Models
by: Kawamura, Kodai, et al.
Published: (2025)

3D View Optimization for Improving Image Aesthetics
by: Uchida, Taichi, et al.
Published: (2024)

Decoupled Data Augmentation for Improving Image Classification
by: Chen, Ruoxin, et al.
Published: (2024)

Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation
by: Yoshihashi, Ryota, et al.
Published: (2023)

HanDyVQA: A Video QA Benchmark for Fine-Grained Hand-Object Interaction Dynamics
by: Tateno, Masatoshi, et al.
Published: (2025)

AnimalClue: Recognizing Animals by their Traces
by: Shinoda, Risa, et al.
Published: (2025)

AgroBench: Vision-Language Model Benchmark in Agriculture
by: Shinoda, Risa, et al.
Published: (2025)

GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification
by: Lee, Hansang, et al.
Published: (2024)

Pre-training Vision Transformers with Formula-driven Supervised Learning
by: Kataoka, Hirokatsu, et al.
Published: (2022)

FontUse: A Data-Centric Approach to Style- and Use-Case-Conditioned In-Image Typography
by: Xin, Xia, et al.
Published: (2026)

Test-Time Modification: Inverse Domain Transformation for Robust Perception
by: Jadon, Arpit, et al.
Published: (2025)

Constant Rate Scheduling: A General Framework for Optimizing Diffusion Noise Schedule via Distributional Change
by: Okada, Shuntaro, et al.
Published: (2024)

HydraMix: Multi-Image Feature Mixing for Small Data Image Classification
by: Reinders, Christoph, et al.
Published: (2025)

The Role of Noisy Data in Improving CNN Robustness for Image Classification
by: Ramírez-Agudelo, Oscar H., et al.
Published: (2026)

SGD-Mix: Enhancing Domain-Specific Image Classification with Label-Preserving Data Augmentation
by: Dong, Yixuan, et al.
Published: (2025)

USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images
by: Wang, Jiamu, et al.
Published: (2025)