Towards More Efficient EfficientDets and Real-Time Marine Debris Detection
Towards More Efficient EfficientDets and Real-Time Marine Debris Detection
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DOI：
10.1109/lra.2023.3245405
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发表时间：
2022-03
影响因子：
5.2
通讯作者：
Federico Zocco;Tzu-Chieh Lin;Ching-I Huang;Hsueh-Cheng Wang;M. O. Khyam;Mien Van
中科院分区：
文献类型：
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作者：
Federico Zocco;Tzu-Chieh Lin;Ching-I Huang;Hsueh-Cheng Wang;M. O. Khyam;Mien Van
海洋废弃物对海洋环境的健康和人类健康都是一个问题，因为废弃物随着时间的推移分解而产生的称为“微塑料”的微小塑料碎片正在进入食物链的任何层面。对于海洋废弃物的探测和清除，自主水下航行器是一个潜在的解决方案。在这封信中，我们专注于AUV视觉实时海洋垃圾检测的效率。首先，我们提高了一类最先进的对象检测器的效率，即EfficientDets [1]，在D0上提高了1.5% AP，在D1上提高了2.6% AP，在D2上提高了1.2% AP，在D3上提高了1.3% AP，而没有增加GPU延迟（见图1）。随后，我们创建并公开了一个用于检测水中塑料袋和瓶子的数据集，并在此和两个用于海洋垃圾检测的公共数据集上训练了我们改进的EfficientDets。最后，我们开始测试的实时检测性能的海洋环境模拟器。
Marine debris is a problem both for the health of marine environments and for the human health since tiny pieces of plastic called “microplastics” resulting from the debris decomposition over the time are entering the food chain at any levels. For marine debris detection and removal, autonomous underwater vehicles (AUVs) are a potential solution. In this letter, we focus on the efficiency of AUV vision for real-time marine debris detection. First, we improved the efficiency of a class of state-of-the-art object detectors, namely EfficientDets [1], by 1.5% AP on D0, 2.6% AP on D1, 1.2% AP on D2 and 1.3% AP on D3 without increasing the GPU latency (see Fig. 1). Subsequently, we created and made publicly available a dataset for the detection of in-water plastic bags and bottles and trained our improved EfficientDets on this and on two public datasets for marine debris detection. Finally, we began the testing of real-time detection performance on a simulator of marine environments.