Condition-Invariant and Compact Visual Place Description by Convolutional Autoencoder

1 code implementation • 15 Apr 2022 • Hanjing Ye, Weinan Chen, Jingwen Yu, Li He, Yisheng Guan, Hong Zhang

We employ a high-level layer of a pre-trained CNN to generate features, and train a CAE to map the features to a low-dimensional space to improve the condition invariance property of the descriptor and reduce its dimension at the same time.

Visual Place Recognition