Insight Miner

Paper: https://arxiv.org/abs/2208.05688 Semi-supervised Vision Transformers at Scale We study semi-supervised learning (SSL) for vision transformers (ViT), an under-explored topic despite the wide adoption of the ViT architectures to different tasks. To tackle this problem, we propose a new SSL pipeline, consisting of first un/self-supervi arxiv.org Abstract: "We study semi-supervised learning (..

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