Size-to-depth: A New Perspective for Single Image Depth Estimation

13 January 2018

Papers citing "Size-to-depth: A New Perspective for Single Image Depth Estimation"

3 / 3 papers shown

Title
Pseudo Supervised Monocular Depth Estimation with Teacher-Student Network Huan Liu Junsong Yuan Chen Wang Jun Chen MDE 33 4 0 22 Oct 2021
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 26 31 0 04 Jun 2021
ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth Estimation V. Kaushik Kartik Jindgar Brejesh Lall MDE 31 18 0 01 Mar 2021