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07/03/2023
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution
Diffusion models have gained significant popularity in the field of imag...
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02/28/2023
GRAN: Ghost Residual Attention Network for Single Image Super Resolution
Recently, many works have designed wider and deeper networks to achieve ...
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11/17/2022
Self-Supervised Visual Representation Learning via Residual Momentum
Self-supervised learning (SSL) approaches have shown promising capabilit...
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08/11/2022
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning
Exponential Moving Average (EMA or momentum) is widely used in modern se...
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07/22/2022
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness
Adversarial training (AT) for robust representation learning and self-su...
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03/30/2022
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
Contrastive learning (CL) is widely known to require many negative sampl...
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02/11/2022
Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation
Adversarial training (AT) and its variants are the most effective approa...
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01/15/2021