no code implementations • 9 Jun 2023 • Dong-Jae Lee, Jae Young Lee, Hyounguk Shon, Eojindl Yi, Yeong-Hun Park, Sung-Sik Cho, Junmo Kim
While most lightweight monocular depth estimation methods have been developed using convolution neural networks, the Transformer has been gradually utilized in monocular depth estimation recently.
no code implementations • 17 Apr 2022 • Ginam Kim, Hyunsung Kim, Joseph Kihoon Kim, Sung-Sik Cho, Yeong-Hun Park, Suk-Ju Kang
In addition, we propose a classification task to distinguish between normal and abnormal states of wearing a seat belt using results that combine 3D pose estimation with seat-belt segmentation.