Multimodal Skip-gram Using Convolutional Pseudowords

12 Nov 2015 Zachary Seymour Yingming Li Zhongfei Zhang

This work studies the representational mapping across multimodal data such that given a piece of the raw data in one modality the corresponding semantic description in terms of the raw data in another modality is immediately obtained. Such a representational mapping can be found in a wide spectrum of real-world applications including image/video retrieval, object recognition, action/behavior recognition, and event understanding and prediction... (read more)

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