You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: The SSD approach is based on a feed-forward convolutional network that produces a fixed-size collection of bounding boxes and scores for the presence of object class instances in those boxes, followed by a non-maximum suppression step to produce the final detections. The early network layers are based on a standard architecture used for high quality image classification (truncated before any classification layers), which we will call the base network222We use the VGG-16 network as a base, but other networks should also produce good results.. We then add auxiliary structure to the network to produce detections with the following key features:

Question: What do you mean by NMS(Non-Maximal Suppression) ?
NMS is used in SSD to get the final predictions. The definition and process of NMS cannot be answered in this paper.