10 citations · 12 across the 5 of their papers we have counts for
3 papers · 1 filter
KCP: Kernel Cluster Pruning for Dense Labeling Neural Networks
Po-Hsiang Yu, Sih-Sian Wu, Liang-Gee Chen
Pruning has become a promising technique used to compress and accelerate neural networks. Existing methods are mainly evaluated on spare labeling applications. However, dense label…
Joint Pruning & Quantization for Extremely Sparse Neural Networks
Po-Hsiang Yu, Sih-Sian Wu, Jan P. Klopp +2
We investigate pruning and quantization for deep neural networks. Our goal is to achieve extremely high sparsity for quantized networks to enable implementation on low cost and low…
What Synthesis is Missing: Depth Adaptation Integrated with Weak Supervision for Indoor Scene Parsing
Keng-Chi Liu, Yi-Ting Shen, Jan P. Klopp +1
Scene Parsing is a crucial step to enable autonomous systems to understand and interact with their surroundings. Supervised deep learning methods have made great progress in solvin…