Coarse-to-Fine: Progressive Image Compression for Semantically Hierarchical Classification
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 introduce a semantic hierarchy-aware progressive codec that enables semantic scalability (i.e., coarse-to-fine) from a single bitstream. We first systematically categorize ImageNet-1K classes into CLIP embedding-based semantic hierarchies. Based on a channel-wise autoregressive fra...
| Authors | Jungwoo Kim, Jun-Hyuk Kim, Jong-Seok Lee |
|---|---|
| Primary category | eess.IV |
| Published | 8 May 2026 |
| Last updated at source | 8 May 2026 |
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