Pose-guided pedestrian action recognition with two-stream neural architecture searching
Author:
Publisher
Science China Press., Co. Ltd.
Subject
Engineering (miscellaneous),General Computer Science
Link
https://engine.scichina.com/doi/pdf/7D8C198669E44D57A6B363FFD1C39848
Reference49 articles.
1. Zhang S S, Benenson R, Omran M, et al. How far are we from solving pedestrian detection? In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, 2016. 1259--1267.
2. Yang P, Zhang G, Wang L. A Part-Aware Multi-Scale Fully Convolutional Network for Pedestrian Detection. IEEE Trans Intell Transp Syst, 2021, 22: 1125-1137.
3. Wang H, Li Y, Wang S. Fast Pedestrian Detection With Attention-Enhanced Multi-Scale RPN and Soft-Cascaded Decision Trees. IEEE Trans Intell Transp Syst, 2020, 21: 5086-5093.
4. Cao J, Pang Y, Han J. Taking a Look at Small-Scale Pedestrians and Occluded Pedestrians. IEEE Trans Image Process, 2020, 29: 3143-3152.
5. Brazil G, Liu X M. Pedestrian detection with autoregressive network phases. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, 2019. 7231--7240.
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