Less-Forgetful Learning for Domain Expansion in Deep Neural Networks
Less-Forgetful Learning for Domain Expansion in Deep Neural Networks
Expanding the domain that deep neural network has already learned without accessing old domain data is a challenging task because deep neural networks forget previously learned information when learning new data from a new domain. In this paper, we propose a less-forgetful learning method for the domain expansion scenario. While …