Semantic annotation for complex video street views based on 2D-3D multi-feature fusion and aggregated boosting decision forests
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文摘

2D and 3D superpixel features for object representation.

A modified aggregated boosting decision forest for fast and accurate classification.

Only a small amount of samples for building classification model.

An effective tool for accurate and efficient semantic annotation of complex street views.

Better performance in accuracy, robustness and computation efficiency.

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