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…