5 Questions
What is the reason for not including SRResNet in the table?
SRResNet never reported the results for Set14 with ×3
Why were the authors of GUN criticized for their results on Set14 at ×3?
Their PSNR results were on the high side compared to other methods
What is the significance of SRCNN in the field of Super-Resolution?
SRCNN is a landmark work on SR and has been used in many application scenarios
Why did the authors of a work on face recognition use SRCNN-Ex?
They achieved improved recognition rates with input face images subjected to SRCNN-Ex
What was the reason for excluding the 'Bridge' image from Set14 according to the first author?
The 'Bridge' image had a 6-bit depth which was zero-padded to 8 bits, making it unsuitable for an 8-bit SR method
Explore the differences between NBRSF and 10.IA algorithms in the context of Super-Resolution (SR) techniques. Learn about the innovative approaches employed by each method and how they contribute to the counternarrative against CNN strategies.
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