Digging Into Self-Supervised Monocular Depth Estimation
stereo algorithms, improving depth predictions. 2.2. Self-supervised Depth Estimation In the absence of ground truth depth, one alternative is to train depth estimation models using image reconstruction as the supervisory signal. Here, the model is given a set of im-ages as input, either in the form of stereo pairs or monocu-lar sequences.
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