4 papers
RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection
Rongcheng Wu, Hao Zhu, Shiying Zhang +9
Unsupervised industrial anomaly detection requires accurately identifying defects without labeled data. Traditional autoencoder-based methods often struggle with incomplete anomaly…
Estimating Pasture Biomass from Top-View Images: A Dataset for Precision Agriculture
Qiyu Liao, Dadong Wang, Rebecca Haling +8
Accurate estimation of pasture biomass is important for decision-making in livestock production systems. Estimates of pasture biomass can be used to manage stocking rates to maximi…
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…
Enhancing User-Centric Privacy Protection: An Interactive Framework through Diffusion Models and Machine Unlearning
Huaxi Huang, Xin Yuan, Qiyu Liao +2
In the realm of multimedia data analysis, the extensive use of image datasets has escalated concerns over privacy protection within such data. Current research predominantly focuse…