Facebook AI researchers this week announced SEER, a self-supervised model that surpasses the best self-supervised systems, and also outperforms supervised models on tasks including image classification, object detection, and segmentation. Combining RegNet architectures with the SwAV online clustering approach, SEER is a billion-parameter model pretrained on a billion random images.
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