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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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05/01/2023
Attack-SAM: Towards Evaluating Adversarial Robustness of Segment Anything Model
Segment Anything Model (SAM) has attracted significant attention recentl...
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04/04/2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material
Diffusion models have become a new SOTA generative modeling method in va...
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04/04/2023
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era
OpenAI has recently released GPT-4 (a.k.a. ChatGPT plus), which is demon...
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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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03/21/2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
As ChatGPT goes viral, generative AI (AIGC, a.k.a AI-generated content) ...
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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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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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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
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
To avoid collapse in self-supervised learning (SSL), a contrastive loss ...
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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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12/04/2018
