An Object Detection Method Combining Multi-Level Feature Fusion and Region Channel Attention
In deep convolutional neural networks, the introduction of attention mechanism can effectively improve the detection accuracy of multi-scale objects, such as SENet and CBAM. But they use the first-order pooling of feature map to compute the channel weights, which leads to the unreasonable weights al...
| 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/9347472/ |