1. Introduction to this article
The improvement mechanism this article brings to you is the TransNeXt feature extraction network , which was published in December 2023. It is the latest and most cutting-edge network model . It is applied to our feature extraction network to extract features. At the same time, this article will solve the problem for you. A built-in error message simulates the biological visual system, especially the visual perception of the fovea, by combining aggregated pixel focused attention and convolutional GLU. This approach enables global perception for each pixel and enhances the model’s information mixing and natural visual perception capabilities. TransNeXt has shown excellent performance in a variety of visual tasks, including image classification, object detection, and semantic segmentation (it needs to be noted that the training time of this model is very long).
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