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Found 6 papers, 0 papers with code
FastRecon: Few-shot Industrial Anomaly Detection via Fast Feature Reconstruction
In this paper, we propose a few-shot anomaly detection strategy that works in a low-data regime and can generalize across products at no cost.
Digital Twin-Assisted Efficient Reinforcement Learning for Edge Task Scheduling
We use DT to simulate the results of different decisions made by the agent, so that one agent can try multiple actions at a time, or, similarly, multiple agents can interact with environment in parallel in DT.
Hybrid CNN-Transformer Model For Facial Affect Recognition In the ABAW4 Challenge
This paper describes our submission to the fourth Affective Behavior Analysis (ABAW) competition.
Robust Functional Principal Component Analysis for Non-Gaussian Longitudinal Data
Functional principal component analysis is essential in functional data analysis, but the inferences will become unconvincing when some non-Gaussian characteristics occur, such as heavy tail and skewness.
Methodology
Attacking Split Manufacturing from a Deep Learning Perspective
The notion of integrated circuit split manufacturing which delegates the front-end-of-line (FEOL) and back-end-of-line (BEOL) parts to different foundries, is to prevent overproduction, piracy of the intellectual property (IP), or targeted insertion of hardware Trojans by adversaries in the FEOL facility.
COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining
With the spread and development of new epidemics, it is of great reference value to identify the changing trends of epidemics in public emotions.
