SDPDet: Learning Scale-Separated Dynamic Proposals for End-to-End Drone-View Detection-Reference-Cited by-同舟云学术

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SDPDet: Learning Scale-Separated Dynamic Proposals for End-to-End Drone-View Detection

Published:2024 Issue: Volume:26 Page:7812-7822
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Yin Nengzhong¹^ORCID,Liu Chengxu¹^ORCID,Tian Ruhao²^ORCID,Qian Xueming³^ORCID

Affiliation:

1. School of Information and Communication Engineering, Xi'an Jiaotong University, Xi'an, China

2. School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China

3. Ministry of Education Key Laboratory for Intelligent Networks and Network Security, School of Information and Communication Engineering, Xi'an Jiaotong University, Xi'an, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Innovative Leading Talents Scholarship of Xi'an Jiaotong University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10460117.pdf?arnumber=10460117

Reference56 articles.

1. QoE-Driven UAV-Enabled Pseudo-Analog Wireless Video Broadcast: A Joint Optimization of Power and Trajectory

2. Person Re-Identification in Aerial Imagery

3. Image-Only Real-Time Incremental UAV Image Mosaic for Multi-Strip Flight

4. Microsoft COCO: Common Objects in Context

5. The Pascal Visual Object Classes (VOC) Challenge

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