Publications by Shuxuan Guo | EPFL Graph Search

Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions

Mathieu Salzmann, Shuxuan Guo, Yinlin Hu

Knowledge distillation facilitates the training of a compact student network by using a deep teacher one. While this has achieved great success in many tasks, it remains completely unstudied for image-based 6D object pose estimation. In this work, we intro ...

Ieee Computer Soc2023

Improving the Training of Compact Neural Networks for Visual Recognition

Shuxuan Guo

During the Artificial Intelligence (AI) revolution of the past decades, deep neural networks have been widely used and have achieved tremendous success in visual recognition. Unfortunately, deploying deep models is challenging because of their huge model s ...

EPFL2022

Distilling Image Classifiers in Object Detectors

Mathieu Salzmann, Shuxuan Guo

Knowledge distillation constitutes a simple yet effective way to improve the performance of a compact student network by exploiting the knowledge of a more powerful teacher. Nevertheless, the knowledge distillation literature remains limited to the scenari ...

Curran Associates, Inc.2021

ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks

Mathieu Salzmann, Shuxuan Guo

We introduce an approach to training a given compact network. To this end, we leverage over-parameterization, which typically improves both neural network optimization and generalization. Specifically, we propose to expand each linear layer of the compact ...

Curran Associates Inc.2020