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Jointly Discovering Visual Objects And Spoken Words From Raw Sensory Input

COMPUTER VISION - ECCV 2018, PT VI, no. 3 (2018): 659-677

Cited by: 121|Views167
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Abstract

In this paper, we explore neural network models that learn to associate segments of spoken audio captions with the semantically relevant portions of natural images that they refer to. We demonstrate that these audio-visual associative localizations emerge from network-internal representations learned as a by-product of training to perform...More

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