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This document summarizes an approach for efficient inference in fully connected conditional random fields (CRFs) with Gaussian edge potentials defined over all pixel pairs in an image. The authors present an approximate inference algorithm based on a mean field approximation that iteratively optimizes messages passing between variables. A key insight is that mean field updates in such fully connected CRFs can be performed efficiently using Gaussian filtering in feature space, reducing complexity from quadra

Author

Tiến Quảng

Language

EN