Deep Semantic Mapping for Heterogeneous Multimedia Transfer Learning Using Co-Occurrence Data

Transfer learning, which focuses on finding a favorable representation for instances of different domains based on auxiliary data, can mitigate the divergence between domains through knowledge transfer. Recently, increasing efforts on transfer learning have employed d eep n eural n etworks (DNN) to learn more robust and higher level feature representations to better tackle cross-media disparities. However, only a few articles consider the …