Exploiting Full-Scale Feature for Remote Sensing Object Detection Based on Refined Feature Mining and Adaptive Fusion
Object detection for remote sensing images remains a challenging problem. In this paper, we proposed an effective remote sensing detection network (RS-Net) based on YOLOv4, which greatly solves the difficulties of remote sensing object detection. Center to our RS-Net is coarse-grained highlighting (...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9535136/ |
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