Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...
Abstract: Recently, deep learning calculations have been used for picture identification and detection, with excellent results in the pharmaceutical industry, such as clinical image research and ...
Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
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