3 papers
cs.CV2026
Feature Recalibration Based Olfactory-Visual Multimodal Model for Enhanced Rice Deterioration Detection
Rongqiang Zhao, Hengrui Hu, Yijing Wang +2
Multimodal methods are widely used in rice deterioration detection, but they exhibit limited capability in representing and extracting fine-grained abnormal features. Moreover, the…
cs.LG2026
IT-OSE: Exploring Optimal Sample Size for Industrial Data Augmentation
Mingchun Sun, Rongqiang Zhao, Zhennan Huang +2
In industrial scenarios, data augmentation is an effective approach to improve model performance. However, its benefits are not unidirectionally beneficial. There is no theoretical…
cs.LG2025
DS-Diffusion: Data Style-Guided Diffusion Model for Time-Series Generation
Mingchun Sun, Rongqiang Zhao, Hengrui Hu +2
Diffusion models are the mainstream approach for time series generation tasks. However, existing diffusion models for time series generation require retraining the entire framework…