Image-Level Automatic Data Augmentation for Pedestrian Detection-Reference-Cited by-同舟云学术

Image-Level Automatic Data Augmentation for Pedestrian Detection

Published:2024 Issue: Volume:73 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Ma Yunfeng¹^ORCID,Liu Min¹^ORCID,Tang Yi¹^ORCID,Wang Xueping²^ORCID,Wang Yaonan¹^ORCID

Affiliation:

1. College of Electrical and Information Engineering, National Engineering Laboratory for Robot Visual Perception and Control Technology, Hunan University, Changsha, China

2. College of Information Science and Engineering, Hunan Normal University, Changsha, China

Funder

National Natural Science Foundation of China

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10330131.pdf?arnumber=10330131

Reference51 articles.

1. Pedestrian Detection Using Stationary Wavelet Dilated Residual Super-Resolution

2. Impartial Differentiable Automatic Data Augmentation Based on Finite Difference Approximation for Pedestrian Detection

3. Variational Pedestrian Detection

4. A Location-Enhanced and Multiscale-Friendly Crowd Detecting Approach for Tram

5. Egocentric Two-frame Pedestrian Trajectory Prediction Algorithm Based on a Panoramic Camera

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