The attention mechanism is an important concept in deep-learning, especially in computer vision. It allows the model to focus on key information in the input, similar to how humans selectively pay attention to certain parts of a scene. By assigning different weights to different parts of the feature map, the attention mechanism can enhance the representation ability of the model, improving its performance in various vision tasks such as image recognition and object detection.
