AI RESEARCH
Coarse-to-Fine: Progressive Image Compression for Semantically Hierarchical Classification
arXiv CS.CV
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ArXi:2605.08266v1 Announce Type: cross Recent advances in learned image compression (LIC) have enabled practical deployments, spurring active research into image compression for machines and progressive coding schemes. However, their integration remains under-explored: prior works on progressive machine codec predominantly target sample-level difficulty adaptation (i.e., easy-to-hard), without considering semantic-level scalability. In this work, we