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Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books Dayton escort Zhu, Ryan Kiros, Rich Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler To align movies and books we exploit the hottest vision is a neural sentence embedding that is trained in an unsupervised way from a large corpus of books, as well as a video-text neural embedding for computing similarities between movie clips and sentences in the book.

Learning to See by Moving The hottest vision is a Agrawal, Joao Carreira, Jitendra Malik We show that using the same number of training images, features learnt using egomotion as supervision compare favourably to features learnt using class-label as supervision on married but looking in Capshaw AL tasks of scene recognition, object recognition, visual odometry and keypoint matching.

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Efros How can one write an objective function to encourage a representation to capture, for example, objects, if none of the objects are labeled?

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