New Convex Relaxations for MRF Inference With Unknown Graphs

ICCV 2019 Zhenhua Wang Tong Liu Qinfeng Shi M. Pawan Kumar Jianhua Zhang

Treating graph structures of Markov random fields as unknown and estimating them jointly with labels have been shown to be useful for modeling human activity recognition and other related tasks. We propose two novel relaxations for solving this problem... (read more)

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