MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation
Author:
Affiliation:
1. School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia
Funder
University of New South Wales Tuition Fee Scholarship
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/9942712/09820782.pdf?arnumber=9820782
Reference66 articles.
1. AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass
2. Robust Learning for Deep Monocular Depth Estimation
3. Vision meets robotics: The KITTI dataset
4. Indoor Segmentation and Support Inference from RGBD Images
5. Structured Knowledge Distillation for Dense Prediction
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