Table 3.

Quantitative results of SS-CRNN and SelfCoLearn with different backbone networks at 8-fold acceleration (mean ± std).

Methods	Training Pattern	PSNR (dB)	SSIM	MSE ($\times {10}^{-4}$)
SS-CRNN	Self-supervised	30.81 ± 1.77	0.8015 ± 0.0427	9.02 ± 3.75
SelfCoLearn with SLR-Net	Self-supervised	33.58 ± 2.24	0.9001 ± 0.0369	5.57 ± 10.48
SelfCoLearn with k-t Next	Self-supervised	36.95 ± 2.39	0.9226 ± 0.0343	2.34 ± 1.32
SelfCoLearn with CRNN	Self-supervised	37.27 ± 2.40	0.9243 ± 0.0338	2.17 ± 1.22