Abstract: In rapidly evolving field of vision-language models (VLMs), contrastive language-image pre-training (CLIP) has made significant strides, becoming foundation for various downstream tasks.
Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...
Scientists have unveiled a new way to capture ultra-sharp optical images without lenses or painstaking alignment. The ...
Abstract: Pre-trained models with large-scale training data, such as CLIP and Stable Diffusion, have demonstrated remarkable performance in various high-level computer vision tasks such as image ...
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