Author:
Clark Ronald,Bloesch Michael,Czarnowski Jan,Leutenegger Stefan,Davison Andrew J.
Publisher
Springer International Publishing
Reference23 articles.
1. Abadi, M., et al.: Tensorflow: large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467 (2016)
2. Bloesch, M., Czarnowski, J., Clark, R., Leutenegger, S., Davison, A.J.: CodeSLAM—learning a compact, optimisable representation for dense visual SLAM. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)
3. Chen, Y., et al.: Learning to learn without gradient descent by gradient descent. In: Proceedings of the 34th International Conference on Machine Learning, vol. 70, pp. 748–756. PMLR, 06–11 August 2017
4. Lecture Notes in Computer Science;CB Choy,2016
5. Clark, R., Wang, S., Wen, H., Markham, A., Trigoni, N.: VidLoc: a deep spatio-temporal model for 6-DoF video-clip relocalization. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
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