SPNet: An RGB-D Sequence Progressive Network for Road Semantic Segmentation-Reference-Cited by-同舟云学术

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SPNet: An RGB-D Sequence Progressive Network for Road Semantic Segmentation

Published:2023-09-27 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)
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Author:

Zhou Zhi¹,Zhang Yuhang¹,Hua Guoguang¹,Long Ruijing¹,Tian Shishun¹,Zou Wenbin¹

Affiliation:

1. College of Electronics and Information Engineering, Shenzhen University,Shenzhen,China

Funder

National Natural Science Foundation of China

Department of Education of Guangdong Province

Natural Science Foundation of Guangdong Province, China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10337652/10337633/10337660.pdf?arnumber=10337660

Reference37 articles.

1. Road Scene Segmentation from a Single Image

2. High Accuracy Optical Flow Estimation Based on a Theory for Warping

3. LIDAR–camera fusion for road detection using fully convolutional neural networks

4. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

5. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

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