A sparse autoencoder densifies visual odometry points and feeds them as a geometric prior to self-supervised monocular depth networks, improving depth accuracy on KITTI.
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Enhancing self-supervised monocular depth estimation with traditional visual odometry
A sparse autoencoder densifies visual odometry points and feeds them as a geometric prior to self-supervised monocular depth networks, improving depth accuracy on KITTI.