  Uniform and accurate photometric calibration plays an important role in the
current and next-generation wide-field imaging surveys. Herein, we review the
modern photometric calibration methods, including the classic standard star
method, "hardware/observation-driven" methods (such as the Ubercalibration,
Hypercalibration, and Forward Global Calibration Methods), and
"software/physics-driven" methods (e.g., the Stellar Locus Regression, Stellar
Locus, and Stellar Color Regression Methods). Further, we discuss their
advantages, limitations, and future developments toward millimagnitude
precision calibration.
