no code implementations • CVPR 2019 • Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi
Then, we incorporate such a prior into inferring the joint posterior over network weights and the variance in the hierarchical prior, with which both the network training and the dropout rate estimation can be cast into a joint optimization problem.
no code implementations • ECCV 2018 • Yuhang Liu, Wenyong Dong, Dong Gong, Lei Zhang, Qinfeng Shi
Existing sparsity-based priors are usually rooted in modeling the response of images to some specific filters (e. g., image gradients), which are insufficient to capture the complicated image structures.