Mutual-Assistance Learning for Object Detection
Author:
Affiliation:
1. School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China
2. Zhengzhou Institute of Surveying and Mapping, Zhengzhou, Henan, China
Funder
National Natural Science Foundation of China
Natural Science Basic Research Program of Shaanxi
Doctorate Foundation of Northwestern Polytechnical University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/10308548/10265160.pdf?arnumber=10265160
Reference71 articles.
1. End-to-end object detection with transformers;carion;Proc Eur Conf Comput Vis,2020
2. Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
3. FCOS: Fully Convolutional One-Stage Object Detection
4. Dense RepPoints: Representing Visual Objects with Dense Point Sets
5. The Pascal Visual Object Classes (VOC) Challenge
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