Data-Driven Scene Understanding with Adaptively Retrieved Exemplars

3 Feb 2015Xionghao LiuWei YangLiang LinQing WangZhaoquan CaiJianhuang Lai

This article investigates a data-driven approach for semantically scene understanding, without pixelwise annotation and classifier training. Our framework parses a target image with two steps: (i) retrieving its exemplars (i.e. references) from an image database, where all images are unsegmented but annotated with tags; (ii) recovering its pixel labels by propagating semantics from the references... (read more)

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