Abstract:Using image processing algorithm to localize objects, which lack specific patterns and local features, has always been the research focus in industrial production. Compared with the traditional image processing algorithm, RAM (Recurrent Attention Model) in deep learning not only shows advantages in positioning accuracy and stability, but also has good adaptability in situations such as occlusion. However, RAM contains policy gradient (PG) algorithm, which is unstable in training process and has low convergence… Show more
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