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"

4 / 4 papers shown

Title
Towards General Purpose Geometry-Preserving Single-View Depth Estimation Mikhail Romanov Nikolay Patatkin Anna Vorontsova Sergey Nikolenko Anton Konushin Dmitry Senyushkin MDE 24 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 22 35 0 27 Jun 2020
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 197 1,708 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 7,636 0 03 Jul 2012