Despite the success of these prior efforts in yielding multimodal embeddings and applying them to downstream NLP tasks, there are still several deficiencies.
the visual features (as such) are not guaranteed to be suitable for the word embedding task since they are typically optimized independently for another objective (e.g., image classification).