Self-supervised Monocular Depth Estimation on Unseen Synthetic Cameras

Author:

Diana-Albelda CeciliaORCID,Bravo Pérez-Villar Juan IgnacioORCID,Montalvo JavierORCID,García-Martín ÁlvaroORCID,Bescós Cano JesúsORCID

Publisher

Springer Nature Switzerland

Reference31 articles.

1. Lecture Notes in Computer Science;D Antensteiner,2017

2. Cadena, C., Latif, Y., Reid, I.D.: Measuring the performance of single image depth estimation methods. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4150–4157. IEEE (2016)

3. Diana, C., Bravo, J.I., J.M.l.G.J.B.: UNSYN-MF dataset: unified synthetic multiple FOV (2023). http://www-vpu.eps.uam.es/publications/UnSyn-MF_Dataset/

4. Dosovitskiy, A., Ros, G., Codevilla, F., Lopez, A., Koltun, V.: CARLA: an open urban driving simulator. In: Proceedings of the 1st Annual Conference on Robot Learning, vol. 78, pp. 1–16 (2017)

5. Eigen, D., Puhrsch, C., Fergus, R.: Depth map prediction from a single image using a multi-scale deep network. In: Advances in Neural Information Processing Systems, vol. 27 (2014)

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