the top-ranked correct caption for each image.
joint embeddings joint embedding is a common technique for a wide range of tasks incorporating multiple domains, including audio-video embeddings for unsupervised representation learning (Ngiam et al., 2011), shape-image embeddings  for shape inference, bilingual word embeddings for machine translation (Zou et al., 2013), human pose-image embeddings for pose inference (Li, 2011), image-text embeddings for visual description (Reed et al., 2016), and global representation learning from multiple domains (Castrejon et al., 2016).