SCFNet: Semantic correction and focus network for remote sensing image object detection

Author:

Yue ChenkeORCID,Yan Junhua,Zhang Yin,Luo Zhaolong,Liu Yong,Guo PengyuORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference54 articles.

1. Towards multi-class object detection in unconstrained remote sensing imagery. In Computer Vision–ACCV 2018;Azimi,2018

2. Buades, A., Coll, B., & Morel, J. M. (2005, June). A non-local algorithm for image denoising. In 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05) (Vol. 2, pp. 60-65). Ieee.

3. Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., & Zagoruyko, S. (2020). End-to-end object detection with transformers. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16 (pp. 213-229). Springer International Publishing.

4. Reconstruction bias U-Net for road extraction from optical remote sensing images;Chen;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2021

5. Ship detection in large-scale SAR images via spatial shuffle-group enhance attention;Cui;IEEE Transactions on Geoscience and Remote Sensing,2020

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