RGB-D Scene Labeling with Multimodal Recurrent Neural Networks

CVPR Workshops, pp. 203-211, 2017.

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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Recurrent neural networks (RNNs) are able to capture context in an image by modeling long-range semantic dependencies among image units. However, existing methods only utilize RNNs to model dependencies of a single modality (e.g., RGB) for labeling. In this work we extend this single-modal RNNs to multimodal RNNs (MM-RNNs) and apply it to...More

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