Deep Learning for Assistive Computer Vision
Abstract
This paper revises the main advances in assistive computer vision recently fostered by deep learning. To this aim, we first discuss how the application of deep learning in computer vision has contributed to the development of assistive techinologies, then analyze the recent advances in assistive technologies achieved in five main areas, namely, object classification and localization, scene understanding, human pose estimation and tracking, action/event recognition and anticipation. The paper is concluded with a discussion and insights for future directions.
Cite
Text
Leo et al. "Deep Learning for Assistive Computer Vision." European Conference on Computer Vision Workshops, 2018. doi:10.1007/978-3-030-11024-6_1Markdown
[Leo et al. "Deep Learning for Assistive Computer Vision." European Conference on Computer Vision Workshops, 2018.](https://mlanthology.org/eccvw/2018/leo2018eccvw-deep/) doi:10.1007/978-3-030-11024-6_1BibTeX
@inproceedings{leo2018eccvw-deep,
title = {{Deep Learning for Assistive Computer Vision}},
author = {Leo, Marco and Furnari, Antonino and Medioni, Gérard G. and Trivedi, Mohan M. and Farinella, Giovanni Maria},
booktitle = {European Conference on Computer Vision Workshops},
year = {2018},
pages = {3-14},
doi = {10.1007/978-3-030-11024-6_1},
url = {https://mlanthology.org/eccvw/2018/leo2018eccvw-deep/}
}