SLIM: Semantic-based Low-bitrate Image compression for Machines
SLIM proposes a new method for compressing images for machine vision at very low bitrates. It focuses compression only on important regions (RoI) and uses a diffusion model to enhance the compressed data during decoding. This approach maintains high classification accuracy under tight bitrate constraints, outperforming traditional methods.