Unitronics Encoder Function

Abstract: Pre-trained encoders in computer vision have recently received great attention from both research and industry communities. Among others, a promising paradigm is to utilize self-supervised ...

IEEE

Improving the Accuracy of Eccentric Magnetic Absolute Encoders Using Radial Basis Function Neural Network and Third-Order PLL

In this study, in order to improve the accuracy of eccentric magnetic absolute encoders (EMAE), an angle calculation method that combines radial basis function neural networks (RBFNN) and third-order ...

GitHub

Zero-Shot Reinforcement Learning via Function Encoders

This repo is the official codebase for the paper "Zero-Shot Reinforcement Learning via Function Encoders". The code consists of the following four examples, each of which is effectively a seperate ...

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Unitronics (1989) (RG) Ltd.

Mitigating Backdoor Attacks in Pre-Trained Encoders via Self-Supervised Knowledge Distillation

Improving the Accuracy of Eccentric Magnetic Absolute Encoders Using Radial Basis Function Neural Network and Third-Order PLL

Zero-Shot Reinforcement Learning via Function Encoders