RepATT: Re-parameterization and Attention-guided Hybrid Anchor Classification for Real-time Lane Detection-Reference-Cited by-同舟云学术

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RepATT: Re-parameterization and Attention-guided Hybrid Anchor Classification for Real-time Lane Detection

Published:2023-10-19 Issue: Volume: Page:178-185
ISSN:
Container-title:2023 International Conference on Artificial Intelligence of Things and Systems (AIoTSys)
language:
Short-container-title:

Author:

Yao Xin-Wei¹,Zhang Kai-Jie¹,Yang Yang²,Pu Gui-Yang³,Li Qiang¹

Affiliation:

1. Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China

2. Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China

3. China Mobile (Hangzhou) Information Technology Co., Ltd,Hangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10457290/10457291/10457332.pdf?arnumber=10457332

Reference23 articles.

1. Nighttime Image Dehazing Based on Point Light Sources

2. Spatial as Deep: Spatial CNN for Traffic Scene Understanding

3. Learning Lightweight Lane Detection CNNs by Self Attention Distillation

4. Towards End-to-End Lane Detection: an Instance Segmentation Approach

5. RESA: Recurrent Feature-Shift Aggregator for Lane Detection

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