SGANVO uses stacked GAN layers with recurrent connections to estimate depth and ego-motion unsupervisedly from images, reporting better or comparable results on the KITTI dataset.
”The cityscapes dataset for semantic urban scene understanding.” Proceedings of the IEEE conference on computer vision and pattern recognition
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SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial Networks
SGANVO uses stacked GAN layers with recurrent connections to estimate depth and ego-motion unsupervisedly from images, reporting better or comparable results on the KITTI dataset.