CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 11884 > Article
Paper
28 October 2021 Center heatmap attention for few-shot object detection
Fanglin Li, Jie Yuan, Shuyi Feng, Xiaomin Cai, Hao Gao
Author Affiliations +
Proceedings Volume 11884, International Symposium on Artificial Intelligence and Robotics 2021; 118840R (2021) https://doi.org/10.1117/12.2604295
Event: International Symposium on Artificial Intelligence and Robotics 2021, 2021, Fukuoka, Japan
Abstract
With the development of computer vision and deep learning, the convolutional neural network has been widely used in image processing such as object detection and semantic segmentation, and has achieved breakthrough achievements. However, when the training samples are insufficient, the conventional neural network usually has unsatisfactory robustness. In order to solve the problem, we improve the generalization performance of the few-shot detectors by focusing on the target center and can identify novel categories. The paper proposes a new attention mechanism based on the auxiliary circle feature map of the object center. By selecting an auxiliary circle feature map with the object center as the center of the circle and the minimum size in height and width as the diameter, adding it to the anchor-free CenterNet network as soft attention to promote network training. Several experiments on PASCAL VOC2007/2012 datasets show that the proposed method achieves the most advanced level in terms of the accuracy and standard deviation of few-shot object detection, which indicates the algorithm’s effectiveness.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Fanglin Li, Jie Yuan, Shuyi Feng, Xiaomin Cai, and Hao Gao "Center heatmap attention for few-shot object detection", Proc. SPIE 11884, International Symposium on Artificial Intelligence and Robotics 2021, 118840R (28 October 2021); https://doi.org/10.1117/12.2604295
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 12 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image classification
Data modeling
Neural networks
Statistical modeling
Networks
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top