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Swin Transformer supports 3-billion-parameter vision models that can train with higher-resolution images for greater task applicability
June 21, 2022, 4 p.m. | Alyssa Hughes
Microsoft Research www.microsoft.com
Early last year, our research team from the Visual Computing Group introduced Swin Transformer, a Transformer-based general-purpose computer vision architecture that for the first time beat convolutional neural networks on the important vision benchmark of COCO object detection and did so by a large margin. Convolutional neural networks (CNNs) have long been the architecture of […]
The post Swin Transformer supports 3-billion-parameter vision models that can train with higher-resolution images for greater task applicability appeared first on Microsoft Research.
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