Before revision: Vision models trained on multimodal datasets have recently proved very efficient, both in terms of the wide availability of large image-caption datasets , and in terms of the resulting model 's ability to generalize to multiple downstream tasks (e.g. zero-shot learning).
After revision: Vision models trained on multimodal datasets can benefit from the wide availability of large image-caption datasets , and in terms of the resulting model 's ability to generalize to multiple downstream tasks (e.g. zero-shot learning).