Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos

7 June 2021

Papers citing "Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos"

6 / 56 papers shown

Title
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 305 5,534 0 23 Nov 2015
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields Fayao Liu Chunhua Shen Guosheng Lin Ian Reid MDE 169 1,198 0 26 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Deep Convolutional Neural Fields for Depth Estimation from a Single Image Fayao Liu Chunhua Shen Guosheng Lin MDE 180 892 0 24 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 209 2,683 0 18 Nov 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network David Eigen Christian Puhrsch Rob Fergus MDE 3DPC 3DV 239 4,066 0 09 Jun 2014