As the scale of deep learning models continues to grow, large-scale models in machine vision and natural language processing (NLP) have achieved tremendous success. For instance, the current NLP giant GPT-3 has pushed the parameter count to the scale of billions. However, due to the significant surpassing...

For a long time, artificial intelligence has faced the challenge of interpretability, with the black-box problem persistently troubling researchers. Although there have been studies using Gradient-weighted Class Activation Map (Grad-CAM) for interpretability in the field of facial expression recognition,...