Splitting Convolutional Neural Network Structures for Efficient Inference.
Emad MalekhosseiniMohsen HajabdollahiNader KarimiShadrokh SamaviShahram ShiraniPublished in: CoRR (2020)
Keyphrases
- efficient inference
- network architecture
- probabilistic inference
- conditional random fields
- markov random field
- fully connected
- human pose estimation
- neural network
- structured prediction
- hidden variables
- exact inference
- graph structure
- markov networks
- approximate inference
- belief propagation
- linear models
- first order logic
- graphical models
- bayesian networks
- support vector
- factor graphs