:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Yiwen, Bader, Jessica, Kim, Jae Myung
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2505.10551
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions
by: Bader, Jessica, et al.
Published: (2025)

Understanding Trade offs When Conditioning Synthetic Data
by: Trabucco, Brandon, et al.
Published: (2025)

Masking Matters: Unlocking the Spatial Reasoning Capabilities of LLMs for 3D Scene-Language Understanding
by: Jeon, Yerim, et al.
Published: (2025)

Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
by: Singhi, Nishad, et al.
Published: (2024)

Fake & Square: Training Self-Supervised Vision Transformers with Synthetic Data and Synthetic Hard Negatives
by: Giakoumoglou, Nikolaos, et al.
Published: (2025)

Stitch: Training-Free Position Control in Multimodal Diffusion Transformers
by: Bader, Jessica, et al.
Published: (2025)

DataDream: Few-shot Guided Dataset Generation
by: Kim, Jae Myung, et al.
Published: (2024)

Investigation of Accuracy and Bias in Face Recognition Trained with Synthetic Data
by: Korshunov, Pavel, et al.
Published: (2025)

SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
by: Mishra, Samarth, et al.
Published: (2023)

Feasibility of assessing cognitive impairment via distributed camera network and privacy-preserving edge computing
by: Hegde, Chaitra, et al.
Published: (2024)

Joint Flow Trajectory Optimization For Feasible Robot Motion Generation from Video Demonstrations
by: Dong, Xiaoxiang, et al.
Published: (2025)

Trimodal Deep Learning for Glioma Survival Prediction: A Feasibility Study Integrating Histopathology, Gene Expression, and MRI
by: Swift, Iain, et al.
Published: (2026)

SynthRAR: Ring Artifacts Reduction in CT with Unrolled Network and Synthetic Data Training
by: Yang, Hongxu, et al.
Published: (2026)

3DTurboQuant: Training-Free Near-Optimal Quantization for 3D Reconstruction Models
by: Lee, Jae Joong
Published: (2026)

Unsupervised Training of Vision Transformers with Synthetic Negatives
by: Giakoumoglou, Nikolaos, et al.
Published: (2025)

Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images
by: Yu, Zhuoran, et al.
Published: (2023)

Semantic Router: On the Feasibility of Hijacking MLLMs via a Single Adversarial Perturbation
by: Li, Changyue, et al.
Published: (2025)

Spherical VAE with Cluster-Aware Feasible Regions: Guaranteed Prevention of Posterior Collapse
by: Zhang, Zegu, et al.
Published: (2026)

Generating Synthetic Wildlife Health Data from Camera Trap Imagery: A Pipeline for Alopecia and Body Condition Training Data
by: Brundage, David
Published: (2026)

VideoWeave: A Data-Centric Approach for Efficient Video Understanding
by: Durante, Zane, et al.
Published: (2026)

Identifying and Understanding Cross-Class Features in Adversarial Training
by: Wei, Zeming, et al.
Published: (2025)

Depth Any Video with Scalable Synthetic Data
by: Yang, Honghui, et al.
Published: (2024)

Inpaint Biases: A Pathway to Accurate and Unbiased Image Generation
by: Myung, Jiyoon, et al.
Published: (2024)

Combining SAR Simulators to Train ATR Models with Synthetic Data
by: Camus, Benjamin, et al.
Published: (2025)

Contrastive Language Prompting to Ease False Positives in Medical Anomaly Detection
by: Park, YeongHyeon, et al.
Published: (2024)

Exploring the Feasibility of Deep Learning Techniques for Accurate Gender Classification from Eye Images
by: Hasan, Basna Mohammed Salih, et al.
Published: (2025)

Cross-scale Aligned Supervision for Training GANs
by: Hyun, Sangeek, et al.
Published: (2026)

Hierarchical and Multimodal Data for Daily Activity Understanding
by: Kaviani, Ghazal, et al.
Published: (2025)

A Guideline-Aware AI Agent for Zero-Shot Target Volume Auto-Delineation
by: Kim, Yoon Jo, et al.
Published: (2026)

Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection
by: Park, YeongHyeon, et al.
Published: (2024)

Towards High-Order Mean Flow Generative Models: Feasibility, Expressivity, and Provably Efficient Criteria
by: Cao, Yang, et al.
Published: (2025)

VDSB-GWSyn: Diffusion Schrödinger Bridge for Controllable and Anatomically Feasible Guidewire Synthesis in Coronary Angiography
by: Tang, Haoyuan, et al.
Published: (2026)

Video-Based Performance Evaluation for ECR Drills in Synthetic Training Environments
by: Rayala, Surya, et al.
Published: (2025)

Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding
by: Clark, Christopher, et al.
Published: (2026)

EgoGen: An Egocentric Synthetic Data Generator
by: Li, Gen, et al.
Published: (2024)

Synthetic Object Compositions for Scalable and Accurate Learning in Detection, Segmentation, and Grounding
by: Huang, Weikai, et al.
Published: (2025)

Drone Detection using Deep Neural Networks Trained on Pure Synthetic Data
by: Wisniewski, Mariusz, et al.
Published: (2024)

Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations
by: Kulkarni, Pranav, et al.
Published: (2024)

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data
by: Kim, Dong-Hee, et al.
Published: (2025)

Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training
by: Ruan, Hongzhi, et al.
Published: (2026)