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09/11/2023
CNN or ViT? Revisiting Vision Transformers Through the Lens of Convolution
The success of Vision Transformer (ViT) has been widely reported on a wi...
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06/13/2023
Robustness of SAM: Segment Anything Under Corruptions and Beyond
Segment anything model (SAM), as the name suggests, is claimed to be cap...
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03/23/2023
A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI
Generative AI has demonstrated impressive performance in various fields,...
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03/14/2023
Text-to-image Diffusion Model in Generative AI: A Survey
This survey reviews text-to-image diffusion models in the context that d...
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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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07/30/2022
A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond
Masked autoencoders are scalable vision learners, as the title of MAE <c...
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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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03/02/2021
A Brief Survey on Deep Learning Based Data Hiding, Steganography and Watermarking
Data hiding is the art of concealing messages with limited perceptual ch...
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10/26/2020
