2 papers
cs.CV2025
C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor
Haoquan Lu, Hanzhe Liang, Jie Zhang +3
3D Anomaly Detection (AD) has shown great potential in detecting anomalies or defects of high-precision industrial products. However, existing methods are typically trained in a cl…
cs.CL2023
Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications
Yue Guo, Chenxi Hu, Yi Yang
Temporal data distribution shift is prevalent in the financial text. How can a financial sentiment analysis system be trained in a volatile market environment that can accurately i…