TIE-KD: Teacher-independent and explainable knowledge distillation for monocular depth estimation-Reference-Cited by-同舟云学术

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TIE-KD: Teacher-independent and explainable knowledge distillation for monocular depth estimation

Published:2024-08 Issue: Volume:148 Page:105110
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Choi Sangwon,Choi Daejune,Kim Duksu

Funder

National Research Foundation of Korea

Ministry of Education

Publisher

Elsevier BV

Reference49 articles.

1. Adabins: Depth estimation using adaptive bins;Bhat,2021

2. Vision meets robotics: the Kitti dataset;Geiger;The International Journal of Robotics Research,2013

3. Computational Principles of Mobile Robotics;Dudek,2010

4. Kinectfusion: Real-time dense surface mapping and tracking;Newcombe,2011

5. Depth map prediction from a single image using a multi-scale deep network;Eigen,2014

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