10 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.CV2018★ 2 cited
Explanatory Graphs for CNNs
Quanshi Zhang, Xin Wang, Ruiming Cao +3
This paper introduces a graphical model, namely an explanatory graph, which reveals the knowledge hierarchy hidden inside conv-layers of a pre-trained CNN. Each filter in a conv-la…
cs.CV2018★ 2 cited
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering
Quanshi Zhang, Ruiming Cao, Ying Nian Wu +1
In this paper, we present a method to mine object-part patterns from conv-layers of a pre-trained convolutional neural network (CNN). The mined object-part patterns are organized b…
cs.CV2016★ 10 cited
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning
Quanshi Zhang, Ruiming Cao, Ying Nian Wu +1
This paper proposes a learning strategy that extracts object-part concepts from a pre-trained convolutional neural network (CNN), in an attempt to 1) explore explicit semantics hid…