Cover Image

Data Leakage in Visual Datasets

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ramos, Patrick, Ramos, Ryan, Garcia, Noa
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Global to Local: Social Bias Transfer in CLIP
by: Ramos, Ryan, et al.
Published: (2025)

No Annotations for Object Detection in Art through Stable Diffusion
by: Ramos, Patrick, et al.
Published: (2024)

Processing and acquisition traces in visual encoders: What does CLIP know about your camera?
by: Ramos, Ryan, et al.
Published: (2025)

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets
by: Adimoolam, Yeshwanth Kumar, et al.
Published: (2023)

RealFace -- Pedestrian Face Dataset
by: Thomas, Leonardo Ramos
Published: (2024)

Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It
by: Lilja, Adam, et al.
Published: (2023)

Privacy in Image Datasets: A Case Study on Pregnancy Ultrasounds
by: Lohanimit, Rawisara, et al.
Published: (2026)

Signature Forgery Detection: Improving Cross-Dataset Generalization
by: Parracho, Matheus Ramos
Published: (2025)

StyleKeeper: Prevent Content Leakage using Negative Visual Query Guidance
by: Jeong, Jaeseok, et al.
Published: (2025)

Validating Vision Transformers for Otoscopy: Performance and Data-Leakage Effects
by: Ndubuisi, James, et al.
Published: (2025)

Find the Leak, Fix the Split: Cluster-Based Method to Prevent Leakage in Video-Derived Datasets
by: Glazner, Noam, et al.
Published: (2025)

Surgical Visual Understanding (SurgVU) Dataset
by: Zia, Aneeq, et al.
Published: (2025)

EMMA: Concept Erasure Benchmark with Comprehensive Semantic Metrics and Diverse Categories
by: Wei, Lu, et al.
Published: (2025)

Stable Diffusion Exposed: Gender Bias from Prompt to Image
by: Wu, Yankun, et al.
Published: (2023)

The Iconicity of the Generated Image
by: van Noord, Nanne, et al.
Published: (2025)

Latent Beam Diffusion Models for Generating Visual Sequences
by: Fernandes, Guilherme, et al.
Published: (2025)

DCBM: Data-Efficient Visual Concept Bottleneck Models
by: Prasse, Katharina, et al.
Published: (2024)

Women Sport Actions Dataset for Visual Classification Using Small Scale Training Data
by: Ray, Palash, et al.
Published: (2025)

FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models
by: Wu, Tong, et al.
Published: (2024)

A Calibrated Memorization Index (MI) for Detecting Training Data Leakage in Generative MRI Models
by: Deo, Yash, et al.
Published: (2026)

Improving Image Data Leakage Detection in Automotive Software
by: Babu, Md Abu Ahammed, et al.
Published: (2024)

The Weaponization of Computer Vision: Tracing Military-Surveillance Ties through Conference Sponsorship
by: Garcia, Noa, et al.
Published: (2026)

Dataset Augmentation by Mixing Visual Concepts
by: Rahat, Abdullah Al, et al.
Published: (2024)

Deep Leakage with Generative Flow Matching Denoiser
by: Baglin, Isaac, et al.
Published: (2026)

VLSBench: Unveiling Visual Leakage in Multimodal Safety
by: Hu, Xuhao, et al.
Published: (2024)

OpenConstruction: A Systematic Synthesis of Open Visual Datasets for Data-Centric Artificial Intelligence in Construction Monitoring
by: Xiong, Ruoxin, et al.
Published: (2025)

DataViz3D: An Novel Method Leveraging Online Holographic Modeling for Extensive Dataset Preprocessing and Visualization
by: Duan, Jinli
Published: (2024)

ImageSet2Text: Describing Sets of Images through Text
by: Riccio, Piera, et al.
Published: (2025)

Would Deep Generative Models Amplify Bias in Future Models?
by: Chen, Tianwei, et al.
Published: (2024)

The Phantom Menace: Unmasking Privacy Leakages in Vision-Language Models
by: Caldarella, Simone, et al.
Published: (2024)

Addressing Text Embedding Leakage in Diffusion-based Image Editing
by: Mun, Sunung, et al.
Published: (2024)

Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic Labels
by: Castaño-Idarraga, Omar A., et al.
Published: (2023)

Facial Landmark Visualization and Emotion Recognition Through Neural Networks
by: Juárez-Jiménez, Israel, et al.
Published: (2025)

Instance-Level Generation for Representation Learning
by: Wu, Yankun, et al.
Published: (2025)

Generating Coherent Sequences of Visual Illustrations for Real-World Manual Tasks
by: Bordalo, João, et al.
Published: (2024)

Err on the Side of Texture: Texture Bias on Real Data
by: Hoak, Blaine, et al.
Published: (2024)

Segmentation Dataset for Reinforced Concrete Construction
by: Schmidt, Patrick, et al.
Published: (2024)

Synthetic Iris Image Databases and Identity Leakage: Risks and Mitigation Strategies
by: Sawilska, Ada, et al.
Published: (2025)

Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
by: Anderson, Kathleen, et al.
Published: (2025)

Only-Style: Stylistic Consistency in Image Generation without Content Leakage
by: Aravanis, Tilemachos, et al.
Published: (2025)