IndraLab

Statements

CALM1 binds Sar. 4 / 4
| 4
sparser
"Interestingly, the two SAR-DDPM predictions perceptually look like they recreate the structure and texture better than the predictions from FANS, MONet, SAR-CAM, and MRDDANet."
40218662
sparser
"Indeed, after adjusting for the Bonferroni multiple comparison correction, their p -values were 0.003 (Sar-Cal), 0.04 (Sar-Cam), 0.002 (Sar-Bas), and 0.01 (Sar-Apu), respectively."
33986444
sparser
"MONet, U-Net, SAR-CAM, and MRDDANet all had very low evaluation times because they are single-pass CNN-based models, while FANS had a much greater evaluation time since its approach involved matching each image patch with many other image patches in the image."
40218662
sparser
"To address the local attention limitations of MRDDANet, SAR-CAM employs multiple attention blocks to enable global attention across the image."
40218662