Commands for autonomous vehicles by progressively stacking visual-linguistic representations

Dai, H., Luo, S., Ding, Y. and Shao, L. (2021) Commands for autonomous vehicles by progressively stacking visual-linguistic representations. In: Bartoli, A. and Fusiello, A. (eds.) Computer Vision – ECCV 2020 Workshops. Series: Lecture notes in computer science, 12536. Springer, pp. 27-32. ISBN 9783030660963 (doi: 10.1007/978-3-030-66096-3_2)

Abstract

In this work, we focus on the object referral problem in the autonomous driving setting. We use a stacked visual-linguistic BERT model to learn a generic visual-linguistic representation. Each element of the input is either a word or a region of interest from the input image. To train the deep model efficiently, we use a stacking algorithm to transfer knowledge from a shallow BERT model to a deep BERT model.

• Item Type: Book Sections
• Additional Information: Print ISBN: 9783030660956
• Status: Published
• Glasgow Author(s) Enlighten ID: Dai, Dr Hang
• Authors: Dai, H., Luo, S., Ding, Y., and Shao, L.
• College/School: College of Science and Engineering > School of Computing Science
• Publisher: Springer
• ISSN: 0302-9743
• ISBN: 9783030660963

Related URLs

• University of Glasgow Library Catalogue