📝 Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch 🧠🔭

"DiffAug first mines sufficient prior semantic knowledge about the neighborhood to guide the diffusion steps, eliminating the need for labels, external data/models, or prior knowledge, while ensuring that the augmented and original data share a smoothed latent space." [gal30b+] 🤖 #LG #CE #CV

⚙️ https://github.com/zangzelin/DiffAug
🔗 https://arxiv.org/abs/2309.07909v1 #arxiv

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