A Light-Weight Object Detection Framework with FPA Module for Optical Remote Sensing Imagery-Reference-Cited by-同舟云学术

A Light-Weight Object Detection Framework with FPA Module for Optical Remote Sensing Imagery

Published:2020-07-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence
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Author:

Gu Xi¹,Kong Lingbin²,Wang Zhicheng¹,Li Jie³,Yu Zhaohui³,Wei Gang¹

Affiliation:

1. Department of Computing Science, Tongji University, China

2. Department of Software Engineering, Tsinghua University, China

3. Shanghai Aerospaces Electronic Technology Institute, Shanghai, China

Publisher

ACM

Reference14 articles.

1. Zhang L. Zhang L. and Du B. Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art. IEEE Geoscience and Remote Sensing Magazine 4 (2). 22--40. Zhang L. Zhang L. and Du B. Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art. IEEE Geoscience and Remote Sensing Magazine 4 (2). 22--40.

2. Huang L. Yang Y. Deng Y. and Yu Y.J.a.p.a. Densebox: Unifying landmark localization with end to end object detection. Huang L. Yang Y. Deng Y. and Yu Y.J.a.p.a. Densebox: Unifying landmark localization with end to end object detection.

3. You Only Look Once: Unified, Real-Time Object Detection

4. CornerNet: Detecting Objects as Paired Keypoints

5. Zhou X. Wang D. and Krähenbühl P.J.a.p.a. Objects as points. Zhou X. Wang D. and Krähenbühl P.J.a.p.a. Objects as points.

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