Learning Pixel-Wise Continuous Depth Representation via Clustering for Depth Completion-Reference-Cited by-同舟云学术

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Learning Pixel-Wise Continuous Depth Representation via Clustering for Depth Completion

Published:2024-07 Issue:7 Volume:34 Page:6303-6317
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Chen Shenglun¹^ORCID,Zhang Hong²,Ma Xinzhu³,Wang Zhihui⁴^ORCID,Li Haojie²^ORCID

Affiliation:

1. School of Software Technology, Dalian University of Technology, Dalian, China

2. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

3. Shanghai Artificial Intelligence Laboratory (Shanghai AI Laboratory), Shanghai, China

4. DUT-RU International School of Information Science and Engineering, Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian University of Technology, Dalian, China

Funder

National Natural Science Foundation of China

Taishan Scholar Program of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/76/10582818/10415465.pdf?arnumber=10415465

Reference49 articles.

1. Virtual KITTI;Cabon;arXiv:2001.10773,2020

2. Argoverse: 3D Tracking and Forecasting With Rich Maps

3. On the Over-Smoothing Problem of CNN Based Disparity Estimation

4. UAMD-Net: A Unified Adaptive Multimodal Neural Network for Dense Depth Completion

5. Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network

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