Adrian Voicila

Instance-Aware Multi-Object Self-Supervision for Monocular Depth Prediction

This letter proposes a self-supervised monocular image-to-depth prediction framework that is trained with an end-to-end photometric loss that handles not only <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$6-$</te