Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning

13 May 2019

Papers citing "Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning"

5 / 5 papers shown

Title
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation R. Q. Mendes E. G. Ribeiro N. D. S. Rosa V. Grassi MDE 51 42 0 13 Oct 2020
Towards General Purpose Geometry-Preserving Single-View Depth Estimation Mikhail Romanov Nikolay Patatkin Anna Vorontsova Sergey Nikolenko Anton Konushin Dmitry Senyushkin MDE 29 3 0 25 Sep 2020
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation Jun Liu Qing Li Rui Cao Wenming Tang Guoping Qiu MDE 33 35 0 27 Jun 2020
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 203 1,710 0 06 Jun 2018
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,640 0 03 Jul 2012