Imputation

Imputation refers to the process of filling in missing values in a dataset using specific methods. The goal is to improve the completeness and usability of the dataset by reasonably estimating the missing data, thereby enhancing the accuracy and reliability of data analysis and model training. In the field of computer vision, imputation can be used for image restoration, video completion, and other tasks to improve the quality and consistency of visual data.