Gyeongjae Choi

GCISG: Guided Causal Invariant Learning for Improved Syn-to-Real Generalization

"Training a deep learning model with artificially generated data can be an alternative when training data are scarce, yet it suffers from poor generalization performance due to a large domain gap. In this paper, we characterize the domain gap by using a causal framework for data generation. We assum…