DAIA

[qiulinzhang]

Thanks for your great paper on SR quantization. I have one problem about the method:

DAIA, Is there any other difference from LSQ expcept your first warm-up to initilize the step size?

or did you make specification of LSQ for SR task, thus you get your Distribution-Aware Interval Adaptation?

[qiulinzhang]

Thanks for your great paper on SR quantization. I have one problem about the method:

DAIA, Is there any other difference from LSQ expcept your first warm-up to initilize the step size?

or did you make specification of LSQ for SR task, thus you get your Distribution-Aware Interval Adaptation?

Another problem, Is there experiment results which compare with LSQ or EWGS?

[blueardour]

Hi, we followed the LSQ as the quantizer in the SR task. The main contributions in my opinion are:

1. Quantizing all layer: not only the non-linear mapping, but also the extraction and reconstruction.
2. The self-supervised loss function, which show obvious benefit on SR task.

For comparasion with LSQ, please refer to Table 5. There is about 1.3 PSNR improvement of FQSR over the LSQ.

[blueardour]

Re-open if further questions