See, Hear, and Read: Deep Aligned Representations

3 Jun 2017 Yusuf Aytar Carl Vondrick Antonio Torralba

We capitalize on large amounts of readily-available, synchronous data to learn a deep discriminative representations shared across three major natural modalities: vision, sound and language. By leveraging over a year of sound from video and millions of sentences paired with images, we jointly train a deep convolutional network for aligned representation learning... (read more)

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