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Hi, thank you for sharing this great work! I have some questions regarding Table 3 in your paper:
How were the MinMax, Percentile, MinMax+FT, and Percentile+FT methods implemented in your experiments?
For "+FT" methods, how did the fine-tuning process work? Did you use the calibration dataset to optimize the parameters?
Additionally, I noticed that some models are marked with "FQ" (Fully Quantized) while others aren’t. Could you share how being fully quantized influences the PSNR/SSIM and computational efficiency?
Thanks in advance for your time and for sharing this research. I’m looking forward to your reply! 😊
The text was updated successfully, but these errors were encountered:
Hi, thank you for sharing this great work! I have some questions regarding Table 3 in your paper:
How were the MinMax, Percentile, MinMax+FT, and Percentile+FT methods implemented in your experiments?
For "+FT" methods, how did the fine-tuning process work? Did you use the calibration dataset to optimize the parameters?
Additionally, I noticed that some models are marked with "FQ" (Fully Quantized) while others aren’t. Could you share how being fully quantized influences the PSNR/SSIM and computational efficiency?
Thanks in advance for your time and for sharing this research. I’m looking forward to your reply! 😊
The text was updated successfully, but these errors were encountered: