A dual-GAN architecture coupled with a conditional random field improves unsupervised monocular depth estimation, achieving a mean relative error of 0.1354 on KITTI.
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Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation
A dual-GAN architecture coupled with a conditional random field improves unsupervised monocular depth estimation, achieving a mean relative error of 0.1354 on KITTI.