CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs. It can map images and text into the same latent space, so that they can be compared ...

Abstract: Biomedical image datasets can be imbalanced due to the rarity of targeted diseases. Generative Adversarial Networks play a key role in addressing this imbalance by enabling the generation of ...

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Abstract: Due to the image database size expanding, how to effectively classify and retrieve images has become an important research topic. This paper proposes an image database classification method ...