Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference.
Longguang WangYulan GuoXiaoyu DongYingqian WangXinyi YingZaiping LinWei AnPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2023)
Keyphrases
- fine grained
- efficient inference
- convolutional neural networks
- coarse grained
- probabilistic inference
- conditional random fields
- markov random field
- fully connected
- approximate inference
- exact inference
- access control
- hidden variables
- human pose estimation
- high dimensional
- graph structure
- graphical models
- structured prediction
- data lineage
- junction tree
- markov networks
- probabilistic model
- bayesian networks
- image segmentation
- machine learning