2023
Dense Adversarial Transfer Learning Based On Class-Invariance
ICASSP 2023accepted
This work proposes the dense adversarial transfer learning based on class-invariance, which is a novel, unsupervised, conditional adversarial domain adaptation approach. The proposed framework concatenates feature maps from the last layer of each backbone’s block to improve transfer learning; these…