2024
Mitigating Optimization Conflict in Domain Adversarial Neural Network via Uncertainty-Aware
ICASSP 2024accepted
In prior studies, domain adversarial neural networks (DANNs) are used to align image-level features regardless of foreground and background. However, the conventional discriminator in DANNs may leads the feature extractor to disregard cross-domain features rather than aligning them. This phenomenon…