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Variable-rate learned image compression with integer-arithmetic-only inference
DOI:10.1016/j.jvcir.2025.104634.png)
Abstract
En 中文
• We propose the first fully quantized variable-rate learned image compression model. • We design a calibration procedure for variable rates with different parameters. • We adopt reduced accumulator precision for efficient hardware implementation.
Keywords:
Integer-arithmetic inference
Learned image compression
Model quantization
Variable-rate
Journal
IF:
3.1
Papers:
414
Citations:
5.6K
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