Centralized Feature Pyramid for Object Detection-Reference-Cited by-同舟云学术

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Centralized Feature Pyramid for Object Detection

Published:2023 Issue: Volume:32 Page:4341-4354
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Quan Yu¹,Zhang Dong¹^ORCID,Zhang Liyan²^ORCID,Tang Jinhui¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. College of Computer Science and Technology, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10194544.pdf?arnumber=10194544

Reference81 articles.

1. Co-Occurrent Features in Semantic Segmentation

2. Deep Residual Learning for Image Recognition

3. Context Encoding for Semantic Segmentation

4. CSPNet: A New Backbone that can Enhance Learning Capability of CNN

5. NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

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