Transferring Multi-Modal Domain Knowledge to Uni-Modal Domain for Urban Scene Segmentation-Reference-Cited by-同舟云学术

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Transferring Multi-Modal Domain Knowledge to Uni-Modal Domain for Urban Scene Segmentation

Published:2024-09 Issue:9 Volume:25 Page:11576-11589
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Liu Peng¹^ORCID,Ge Yanqi²^ORCID,Duan Lixin²^ORCID,Li Wen²,Luo Haonan³,Lv Fengmao³^ORCID

Affiliation:

1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China

3. School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, Sichuan, China

Funder

National Natural Science Foundation of China

Shenzhen Fundamental Research Program

Natural Science Foundation of Sichuan

Frontier Cross Innovation Team Project of Southwest Jiaotong University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10659279/10496388.pdf?arnumber=10496388

Reference94 articles.

1. Deep learning

2. Very deep convolutional networks for large-scale image recognition;Simonyan;arXiv:1409.1556,2014

3. Deep Residual Learning for Image Recognition

4. Semantic Scene Labeling via Deep Nested Level Set

5. RAPNet: Residual Atrous Pyramid Network for Importance-Aware Street Scene Parsing

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