Probing Image Compression For Class-Incremental Learning

arXiv:2403.06288v1 Announce Type: new
Abstract: Image compression emerges as a pivotal tool in the efficient handling and transmission of digital images. Its ability to substantially reduce file size not only facilitates enhanced data storage capacity but also potentially brings advantages to the development of continual machine learning (ML) systems, which learn new knowledge incrementally from sequential data. Continual ML systems often rely on storing representative samples, also known as exemplars, within a limited memory constraint to maintain the performance on …

abstract advantages arxiv capacity class compression continual cs.cv data data storage development digital file image images incremental knowledge learn machine machine learning pivotal reduce storage systems tool type