Cover Image

MoireDB: Formula-generated Interference-fringe Image Dataset

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Matsuo, Yuto, Hayamizu, Ryo, Kataoka, Hirokatsu, Nakamura, Akio
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MoireMix: A Formula-Based Data Augmentation for Improving Image Classification Robustness
by: Matsuo, Yuto, et al.
Published: (2026)

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

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

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

EgoSurgery-Tool: A Dataset of Surgical Tool and Hand Detection from Egocentric Open Surgery Videos
by: Fujii, Ryo, et al.
Published: (2024)

EgoSurgery-HTS: A Dataset for Egocentric Hand-Tool Segmentation in Open Surgery Videos
by: Darjana, Nathan, et al.
Published: (2025)

EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos
by: Fujii, Ryo, et al.
Published: (2024)

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

Using Synthetic Images to Augment Small Medical Image Datasets
by: Vu, Minh H., et al.
Published: (2025)

A Study in Dataset Distillation for Image Super-Resolution
by: Dietz, Tobias, et al.
Published: (2025)

Your Image Generator Is Your New Private Dataset
by: Resmini, Nicolo, 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)

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset
by: Gupta, Ravi Kant, et al.
Published: (2025)

Adversarial Attacks Leverage Interference Between Features in Superposition
by: Stevinson, Edward, et al.
Published: (2025)

Neuro-Symbolic Scene Graph Conditioning for Synthetic Image Dataset Generation
by: Savazzi, Giacomo, et al.
Published: (2025)

Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets
by: Grommelt, Patrick, et al.
Published: (2024)

Diagnosing and Mitigating Modality Interference in Multimodal Large Language Models
by: Cai, Rui, et al.
Published: (2025)

Learning from Synthetic Data via Provenance-Based Input Gradient Guidance
by: Nagano, Koshiro, et al.
Published: (2026)

Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?
by: Ha, Anna Yoo Jeong, et al.
Published: (2024)

MieDB-100k: A Comprehensive Dataset for Medical Image Editing
by: Lai, Yongfan, et al.
Published: (2026)

SearchAD: Large-Scale Rare Image Retrieval Dataset for Autonomous Driving
by: Embacher, Felix, et al.
Published: (2026)

Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets
by: Iordache, Adrian, et al.
Published: (2024)

X-Mark: Saliency-Guided Robust Dataset Ownership Verification for Medical Imaging
by: Kulkarni, Pranav, et al.
Published: (2026)

AutoGeo: Automating Geometric Image Dataset Creation for Enhanced Geometry Understanding
by: Huang, Zihan, et al.
Published: (2024)

Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning
by: Bhat, Prashant, et al.
Published: (2024)

InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
by: Liang, Yan-Shuo, et al.
Published: (2024)

Impact of Tuning Parameters in Deep Convolutional Neural Network Using a Crack Image Dataset
by: Zabin, Mahe, et al.
Published: (2025)

Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models
by: Rastogi, Charvi, et al.
Published: (2025)

Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
by: Yin, Zeyuan, et al.
Published: (2023)

BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs
by: Regenwetter, Lyle, et al.
Published: (2024)

Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?
by: Ozbulak, Utku, et al.
Published: (2025)

MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs
by: Liu, Ziyu, et al.
Published: (2024)

An attempt to generate new bridge types from latent space of generative flow
by: Zhang, Hongjun
Published: (2024)

Exploring the Possibility of TypiClust for Low-Budget Federated Active Learning
by: Ono, Yuta, et al.
Published: (2025)

On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
by: Sun, Peng, et al.
Published: (2023)

An attempt to generate new bridge types from latent space of generative adversarial network
by: Zhang, Hongjun
Published: (2024)

SliceVision-F2I: A Synthetic Feature-to-Image Dataset for Visual Pattern Representation on Network Slices
by: Rafi, Md. Abid Hasan, et al.
Published: (2025)

Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback
by: Furuta, Hiroki, et al.
Published: (2024)

Hyperbolic Dataset Distillation
by: Li, Wenyuan, et al.
Published: (2025)

Masking Teacher and Reinforcing Student for Distilling Vision-Language Models
by: Lee, Byung-Kwan, et al.
Published: (2025)