4 papers
SG-OIF: A Stability-Guided Online Influence Framework for Reliable Vision Data
Penghao Rao, Runmin Jiang, Min Xu
Approximating training-point influence on test predictions is critical for deploying deep-learning vision models, essential for locating noisy data. Though the influence function w…
J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume
Xiwei Liu, Mohamad Kassab, Min Xu +1
Cryo-Electron Tomography (Cryo-ET) enables detailed 3D visualization of cellular structures in near-native states but suffers from low signal-to-noise ratio due to imaging constrai…
SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation
Qiyu Liao, Xin Yuan, Min Xu +1
In Fine-Grained Visual Classification (FGVC), distinguishing highly similar subcategories remains a formidable challenge, often necessitating datasets with extensive variability. T…
FIAS: Feature Imbalance-Aware Medical Image Segmentation with Dynamic Fusion and Mixing Attention
Xiwei Liu, Min Xu, Qirong Ho
With the growing application of transformer in computer vision, hybrid architecture that combine convolutional neural networks (CNNs) and transformers demonstrates competitive abil…