fig2
![Unsupervised monocular depth estimation with aggregating image features and wavelet SSIM (Structural SIMilarity) loss](https://image.oaes.cc/04b5dce2-3cc7-4f49-a7bd-bb9feb988e17/4326.fig.2.jpg)
Figure 2. The overall architecture of both the depth network and the pose network.
Figure 2. The overall architecture of both the depth network and the pose network.
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