注意力机制主要是为了学习一种高效的车辆再识别任务特征嵌入方法，通过训练

The main focus mechanism is an efficient vehicle for learning another feature recognition tasks embedding method can be obtained through the area we need to focus on training deep learning network. <br><br>Can be found, most of the attention-based model will focus concentrated on the part of the region, when the data set when the background is too complex will cause poor results.

The main purpose of the attention mechanism is to learn an efficient method of vehicle re-identification task feature embedding, through training deep learning network to obtain the areas we need to pay attention to.<br><br>As you can see, most attention-based models focus on some areas and can lead to poor results when the background of the dataset is too complex.

The main purpose of attention mechanism is to learn an efficient vehicle recognition task feature embedding method. Through training deep learning network, we can get the areas we need to pay attention to.<br>It can be found that most attention based models focus on some areas, which will lead to poor results when the data set background is too complex.<br>