This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020.
Monocular Model-Based 3D Tracking of Rigid Objects reviews the different techniques and approaches that have been developed by industry and research.
... estimation based on pre-trained convolutional neural network features. In: 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 1329–1335 (2015) 7. Bhoi, A.: Monocular depth estimation: a survey (2019). CoRR arXiv ...
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020.
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs).
... depth estimation using adaptive bins. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 4009–4018 (2021) 3. Bhoi, A.: Monocular depth estimation: A survey. arXiv preprint arXiv:1901.09402 (2019) ...
... depth from an RGB image without the need of expensive hardware. Yet, no neural network is available that can ... monocular depth estimation for robotics: a survey. IEEE Trans Intell Transp Syst 23(10):16940–16961. https:// doi.org ...
This two-volume set of LNCS 12188 and 12189 constitutes the refereed proceedings of the 14th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2020, held as part of the 22nd International Conference, HCI ...
... depth estimation based on a monoc- ular camera. The monocular depth estimation methods can be divided into two ... survey above, and to avoid depending on ground-truth and more generalized monocular depth estimation, we will ...
... Monocular Depth Estimation: A Survey,” arXiv:1901.09402, p. 8 (2019) 2. Xu, Y., Ghamisi, P.: Consistency-regularized region-growing network for semantic segmenta- tion of urban scenes with point-level annotations. IEEE Trans. Image ...