Chained Predictions Using Convolutional Neural Networks

ECCV, 2016.

Cited by: 122|Bibtex|Views77
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

In this work, we present an adaptation of the sequence-to-sequence model for structured vision tasks. In this model, the output variables for a given input are predicted sequentially using neural networks. The prediction for each output variable depends not only on the input but also on the previously predicted output variables. The model...More

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