Large-Scale Classification of Structured Objects using a CRF with Deep Class Embedding

This paper presents a novel deep learning architecture to classify structured objects in datasets with a large number of visually similar categories. We model sequences of images as linear-chain CRFs, and jointly learn the parameters from both local-visual features and neighboring classes... (read more)

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METHOD TYPE
CRF
Structured Prediction