MobileDepth: Efficient Monocular Depth Prediction on Mobile Devices

20 November 2020

Papers citing "MobileDepth: Efficient Monocular Depth Prediction on Mobile Devices"

9 / 9 papers shown

Title
Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets Tian Chen S. An Yuan Zhang Chongyang Ma Huayan Wang Xiaoyan Guo Wen Zheng MDE 46 31 0 22 Jul 2020
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 124 2,375 0 11 Nov 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 95 4,957 0 30 Jul 2018
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation Dan Xu Wei Wang Hao Tang Hong Liu N. Sebe Elisa Ricci MDE 30 305 0 29 Mar 2018
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image Fangchang Ma S. Karaman MDE 3DV 76 584 0 21 Sep 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 111 5,871 0 10 Jul 2017
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields Fayao Liu Chunhua Shen Guosheng Lin Ian Reid MDE 73 1,196 0 26 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 42 18,534 0 06 Feb 2015
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 74 2,674 0 18 Nov 2014