Depth Estimation of Multi-Modal Scene Based on Multi-Scale Modulation-Reference-Cited by-同舟云学术

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Depth Estimation of Multi-Modal Scene Based on Multi-Scale Modulation

Published:2023-10-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Image Processing (ICIP)
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Author:

Wang Anjie¹,Fang Zhijun²,Jiang Xiaoyan³,Gao Yongbin³,Cao Gaofeng¹,Ma Siwei⁴

Affiliation:

1. Peking University,School of Electronic and Computer Engineering

2. Donghua University,School of Computer Science and Technology

3. Shanghai University of Engineering Science,School of Electronic and Electrical Engineering

4. Peking University,School of Computer Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10221937/10221892/10222066.pdf?arnumber=10222066

Reference28 articles.

1. Unsupervised Learning of Depth and Ego-Motion from Video

2. Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

3. Depth Estimation Using A Self-Supervised Network based on Cross-layer Feature Fusion and the Quadtree Constraint

4. Unsupervised Monocular Depth Estimation with Left-Right Consistency

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

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PANO-ECHO: PANOramic depth prediction enhancement with ECHO features;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

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