Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

Zhan, Huangying, Garg, Ravi, Weerasekera, Chamara Saroj, Li, Kejie, Agarwal, Harsh, Reid, Ian M.·2018·2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
DOI 10.1109/cvpr.2018.00043

Cited by (698)

Items 501–600 of 698

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    Alex Zihao Zhu, Liangzhe Yuan, Kenneth P. Chaney, Kostas Daniilidis · 2018 · arXiv (Cornell University)
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  4. Instance-wise Depth and Motion Learning from Monocular Videos
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  7. Lightdepth: A Resource Efficient Depth Estimation Approach for Dealing with Ground Truth Sparsity Via Curriculum Learning
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  16. The Constraints between Edge Depth and Uncertainty for Monocular Depth Estimation
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  43. Switchable-Encoder-Based Self-Supervised Learning Framework for Monocular Depth and Pose Estimation
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  45. MBUDepthNet: Real-Time Unsupervised Monocular Depth Estimation Method for Outdoor Scenes
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  46. Monocular Depth Estimation for Dark Images Using Asymmetric GAN and MIM Based Model
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  48. A Weight-shared Dual-branch Convolutional Neural Network for Unsupervised Dense Depth Prediction and Camera Motion Estimation
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  49. OnboardDepth: Depth Prediction for Onboard Systems
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  50. Un-VDNet: unsupervised network for visual odometry and depth estimation
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  52. Depth Estimation and Object Detection for Monocular Semantic SLAM Using Deep Convolutional Network
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