Feature Compression

Feature Compression is the process in computer vision tasks of reducing feature dimensions to enhance data's machine interpretability and processing efficiency. Its goal is to retain critical information while lowering storage and computational costs, optimizing the performance of downstream tasks. This technique is of significant application value in large-scale dataset processing, real-time applications, and resource-constrained environments.