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An Efficient Fire Detection Method Based on Multiscale Feature Extraction； Implicit Deep Supervision and Channel Attention Mechanism
文献类型：期刊论文
| 作者 | 李松斌; 晏黔东; 刘鹏 |
| 刊名 | IEEE Transactions on Image Processing
 |
| 出版日期 | 2020 |
| 期号 | 1页码:8467 |
| ISSN号 | 1057-7149 |
| DOI | 10.1109/TIP.2020.3016431 |
| 英文摘要 | Recent progress in vision-based fire detection is driven by convolutional neural networks. However, the existing methods fail to achieve a good tradeoff among accuracy, model size, and speed. In this paper, we propose an accurate fire detection method that achieves a better balance in the abovementioned aspects. Specifically, a multiscale feature extraction mechanism is employed to capture richer spatial details, which can enhance the discriminative ability of fire-like objects. Then, the implicit deep supervision mechanism is utilized to enhance the interaction among information flows through dense skip connections. Finally, a channel attention mechanism is employed to selectively emphasize the contribution between different feature maps. Experimental results demonstrate that our method achieves 95.3% accuracy, which outperforms the suboptimal method by 2.5%. Moreover, the speed and model size of our method are 3.76% faster on the GPU and 63.64% smaller than the suboptimal method, respectively. |
| URL标识 | 查看原文 |
| 源URL | [http://159.226.59.140/handle/311008/9697]  |
| 专题 | 历年期刊论文_2020年期刊论文 |
| 作者单位 | 中国科学院声学研究所 |
| 推荐引用方式 GB/T 7714 | 李松斌；晏黔东；刘鹏. An Efficient Fire Detection Method Based on Multiscale Feature Extraction； Implicit Deep Supervision and Channel Attention Mechanism[J]. IEEE Transactions on Image Processing,2020(1):8467. |
| APA | 李松斌；晏黔东；刘鹏.(2020).An Efficient Fire Detection Method Based on Multiscale Feature Extraction； Implicit Deep Supervision and Channel Attention Mechanism.IEEE Transactions on Image Processing(1),8467. |
| MLA | 李松斌；晏黔东；刘鹏."An Efficient Fire Detection Method Based on Multiscale Feature Extraction； Implicit Deep Supervision and Channel Attention Mechanism".IEEE Transactions on Image Processing .1(2020):8467. |
入库方式： OAI收割
来源：声学研究所
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