Prior Availability in Industrial Visual Sim-to-Real: A Review of CAD-Guided and CAD-Unavailable Regimes
This review paper categorizes industrial visual sim-to-real transfer learning based on the availability of Computer-Aided Design (CAD) data. It distinguishes between CAD-available, CAD-unavailable, and boundary-prior settings, highlighting how different priors influence transfer success. The paper argues against a single cross-task leaderboard, emphasizing that the choice of prior evidence is crucial for deployment decisions. AI
IMPACT Provides a new framework for understanding and evaluating sim-to-real transfer learning in industrial AI applications.