F2Depth: Self-supervised indoor monocular depth estimation via optical flow consistency and feature map synthesis

Author:

Guo Xiaotong,Zhao Huijie,Shao Shuwei,Li Xudong,Zhang Baochang

Publisher

Elsevier BV

Reference71 articles.

1. Depthformer: Multiscale vision transformer for monocular depth estimation with global local information fusion;Agarwal,2022

2. Agarwal, A., Arora, C., 2023. Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 5861–5870.

3. Bhat, S.F., Alhashim, I., Wonka, P., 2021. AdaBins: Depth estimation using adaptive bins. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4009–4018.

4. LocalBins: Improving depth estimation by learning local distributions;Bhat,2022

5. Auto-rectify network for unsupervised indoor depth estimation;Bian;IEEE Trans. Pattern Anal. Intell. Mach.,2021

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