PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection
Author:
Affiliation:
1. Zhejiang University, Hangzhou, China
2. Zhejiang University & Alibaba-ZJU Joint Research Institute of Frontier Technologies, Hangzhou, China
3. Fudan University, Shanghai, China
Funder
Shanghai Pujiang Program
Key Area R&D Program of Guangdong Province
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394171.3413837
Reference40 articles.
1. Moving-Object Intrusion Detection Based on Retinex-Enhanced Method
2. Xception: Deep Learning with Depthwise Separable Convolutions
3. The Cityscapes Dataset for Semantic Urban Scene Understanding
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