Real-Oriented Object Detection Driven by Intelligent Stockbreeding-Reference-Cited by-同舟云学术

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Real-Oriented Object Detection Driven by Intelligent Stockbreeding

Published:2024-04-14 Issue: Volume: Page:4345-4349
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Kuang Guowen¹,Lu Xin²,Xia Jingran²,Geng Hao³,Wang Xu¹,Yang Jinfeng¹

Affiliation:

1. Shenzhen Polytechnic,Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area,Shenzhen,China,518055

2. University of Science and Technology Liaoning,School of Electronics and Information Engineering,Liaoning,China,114045

3. ShanghaiTech University,School of Information Science and Technology,Shanghai,China,201210

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447961.pdf?arnumber=10447961

Reference20 articles.

1. Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection

2. Rtmdet: An empirical study of designing real-time object detectors;Lyu,2022

3. Dafne: A one-stage anchor-free approach for oriented object detection;Lang,2022

4. Pp-yoloe-r: An efficient anchor-free rotated object detector;Wang,2022

5. R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

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