CoF-Net: A Progressive Coarse-to-Fine Framework for Object Detection in Remote-Sensing Imagery

Author:

Zhang Cong1ORCID,Lam Kin-Man1,Wang Qi2ORCID

Affiliation:

1. Department of Electronic and Information Engineering, The Hong Kong Polytechnic Universitye, Hung Hom, Hong Kong

2. School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China

Funder

Key-Area Research and Development Program of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Reference96 articles.

1. Learning Center Probability Map for Detecting Objects in Aerial Images

2. ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

3. Dual-Aligned Oriented Detector

4. Squeeze-and-Excitation Networks

5. Foreground refinement network for rotated object detection in remote sensing images;zhang;IEEE Trans Geosci Remote Sens,2021

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