This AI Paper from the University of Michigan and Netflix Proposes CLoVe: A Machine Learning Framework to Improve the Compositionality of Pre-Trained Contrastive Vision-Language Models

There has been notable progress in Vision-Language tasks, with models like CLIP showing impressive performance in various tasks. While these models excel at recognizing objects, they need help composing known concepts in novel ways due to text representations that appear indifferent to word order. Even large-scale models like GPT-4V have yet to show evidence of […]

The post This AI Paper from the University of Michigan and Netflix Proposes CLoVe: A Machine Learning Framework to Improve the Compositionality of Pre-Trained …

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