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eess.IV2023
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution
Axi Niu, Kang Zhang, Joshua Tian Jin Tee +5
It is well known the adversarial optimization of GAN-based image super-resolution (SR) methods makes the preceding SR model generate unpleasant and undesirable artifacts, leading t…
cs.LG2023
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon +4
Studies have shown that modern neural networks tend to be poorly calibrated due to over-confident predictions. Traditionally, post-processing methods have been used to calibrate th…