2 papers
cs.CV2021
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization
Yi Guo, Huan Yuan, Jianchao Tan +3
Model compression techniques are recently gaining explosive attention for obtaining efficient AI models for various real-time applications. Channel pruning is one important compres…
cs.CV2020
Depth Edge Guided CNNs for Sparse Depth Upsampling
Yi Guo, Ji Liu
Guided sparse depth upsampling aims to upsample an irregularly sampled sparse depth map when an aligned high-resolution color image is given as guidance. Many neural networks have…