Rethinking Monocular Depth Estimation with Adversarial Training

arXiv: Computer Vision and Pattern Recognition, Volume abs/1808.07528, 2018.

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Abstract:

Monocular depth estimation is an extensively studied computer vision problem with a vast variety of applications. Deep learning-based methods have demonstrated promise for both supervised and unsupervised depth estimation from monocular images. Most existing approaches treat depth estimation as a regression problem with a local pixel-wise...More

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