NimbleD: Enhancing Self-supervised Monocular Depth Estimation with Pseudo-labels and Large-scale Video Pre-training
A Luginov, M Shahzad - arxiv preprint arxiv:2408.14177, 2024 - arxiv.org
We introduce NimbleD, an efficient self-supervised monocular depth estimation learning
framework that incorporates supervision from pseudo-labels generated by a large vision …
framework that incorporates supervision from pseudo-labels generated by a large vision …
Depth: Self-Supervised Depth Estimation with Dynamic Mask in Dynamic Scenes
S Chen, H Liu, W Li, Y Zhu, G Wang, J Wu - arxiv preprint arxiv …, 2024 - arxiv.org
Depth estimation is a crucial technology in robotics. Recently, self-supervised depth
estimation methods have demonstrated great potential as they can efficiently leverage large …
estimation methods have demonstrated great potential as they can efficiently leverage large …