“In the field of weakly supervised semantic segmentation, researchers have proposed an end-to-end framework based on knowledge distillation, which effectively reduces noise interference and improves the quality of pseudo labels through two-stage knowledge interaction and Gaussian correction modules, demonstrating superior performance.”