Analyzing Robust Synthetic-to-Real Transfer for Stereo Matching

The author explores the degradation of domain generalization ability during fine-tuning stereo networks, identifying the importance of regularization and avoiding overfitting. The proposed DKT framework dynamically measures learning to improve robustness and generalization.