Explore machine learning papers and reviews related to imagecaptioning. Find insights, analysis, and implementation details.
How BLIP unifies vision-language understanding and generation in one model, and bootstraps noisy web data with CapFilt — a captioner that synthesizes captions and a filter that removes noisy image-text pairs.
How CoCa trains a single image-text foundation model with both a contrastive loss and a generative captioning loss by splitting the text decoder into unimodal and multimodal halves, computed in one forward pass.