Zi-Jing Ye

Attention-Guided Channel-Spatial Feature Recalibration for Domain-Adversarial Image Classification

A Domain-Adversarial Neural Network (DANN) aligns global features but does not control how an added attention block changes the shared representation. We test attention-guided DANN (AG-DANN), which places a Convolutional Block Attention Module (CBAM) before global pooling and scales its residual with a zero-initialized...