Pedestrian Detection Using Multi-Scale Structure-Enhanced Super-Resolution-Reference-Cited by-同舟云学术

Pedestrian Detection Using Multi-Scale Structure-Enhanced Super-Resolution

Published:2023-11 Issue:11 Volume:24 Page:12312-12322
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Hsu Wei-Yen¹^ORCID,Yang Pei-Yu²^ORCID

Affiliation:

1. Department of Information Management, Advanced Institute of Manufacturing with High-Tech Innovations, Center for Innovative Research on Aging Society (CIRAS), National Chung Cheng University, Chiayi, Taiwan

2. Department of Information Management, National Chung Cheng University, Chiayi, Taiwan

Funder

Ministry of Science and Technology, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10304348/10168965.pdf?arnumber=10168965

Reference40 articles.

1. Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

2. Pedestrian Detection: An Evaluation of the State of the Art

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4. A discriminative deep model for pedestrian detection with occlusion handling;ouyang;Proc IEEE Conf Comput Vis Pattern Recognit,2012

5. Accurate Image Super-Resolution Using Very Deep Convolutional Networks

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