Feature Fusion and Adversary Occlusion Networks for Object Detection
Current object detection techniques have difficulties in detecting small objects and a low level of accuracy in detecting occluded objects. To solve these problems, this paper proposes an object detection framework named FFAN which is based on Faster R-CNN that introduces a feature fusion network an...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8821288/ |