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UC Berkeley Researchers Develop ALIA: A Breakthrough in Automated Language-Guided Image Augmentation for Fine-Grained Classification Tasks
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Fine-grained image classification is a computer vision task aiming to classify images into subcategories within a larger category. It involves the intricate identification of specific, often rare animals. Yet, they grapple with a need for more extensive training data, leading classifiers to struggle with adaptation across different facets of the domain, such as alterations in […]
The post UC Berkeley Researchers Develop ALIA: A Breakthrough in Automated Language-Guided Image Augmentation for Fine-Grained Classification Tasks appeared first on MarkTechPost.
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