4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2019
Visualization, Discriminability and Applications of Interpretable Saak Features
Abinaya Manimaran, Thiyagarajan Ramanathan, Suya You +1
In this work, we study the power of Saak features as an effort towards interpretable deep learning. Being inspired by the operations of convolutional layers of convolutional neural…
cs.CV2016★ 4 cited
Scene Labeling using Gated Recurrent Units with Explicit Long Range Conditioning
Qiangui Huang, Weiyue Wang, Kevin Zhou +2
Recurrent neural network (RNN), as a powerful contextual dependency modeling framework, has been widely applied to scene labeling problems. However, this work shows that directly a…