Feature-Enhanced CenterNet for Small Object Detection in Remote Sensing Images
Compared with anchor-based detectors, anchor-free detectors have the advantage of flexibility and a lower calculation complexity. However, in complex remote sensing scenes, the limited geometric size, weak features of objects, and widely distributed environmental elements similar to the characterist...
Main Authors: | Tianjun Shi, Jinnan Gong, Jianming Hu, Xiyang Zhi, Wei Zhang, Yin Zhang, Pengfei Zhang, Guangzheng Bao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-10-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/21/5488 |
Similar Items
-
Crack Detection of Concrete Based on Improved CenterNet Model
by: Huaiqiang Kang, et al.
Published: (2024-03-01) -
Weakly perceived object detection based on an improved CenterNet
by: Jing Zhou, et al.
Published: (2022-09-01) -
RCBi-CenterNet: An Absolute Pose Policy for 3D Object Detection in Autonomous Driving
by: Kang An, et al.
Published: (2021-06-01) -
An Improved CenterNet Model for Insulator Defect Detection Using Aerial Imagery
by: Haiyang Xia, et al.
Published: (2022-04-01) -
An Appearance Defect Detection Method for Cigarettes Based on C-CenterNet
by: Hongyu Liu, et al.
Published: (2022-07-01)