Hi guys, Welcome to the Advanced Video Search Engine, and you are watching An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. That video is uploaded by Tony Shin at 2021-04-26T08:53:43-07:00. We are promoting this video only for entertainment and educational purpose only. So, I hope you like & enjoy it. [6k65JqUhADc]
| Name | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale |
| Video Uploader | Video From Tony Shin |
| Upload Date | This Video Uploaded At 26-04-2021 15:53:43 |
| Video Discription | #deeplearning #machinelearning #visiontransformer #transformer #paperoverview #ViT Paper https://arxiv.org/abs/2010.11929 Code https://github.com/lucidrains/vit-pytorch Others video by Yannic Kilcher https://youtu.be/TrdevFK_am4 Abstract While the Transformer architecture has become the de-facto standard for natural language processing tasks, its applications to computer vision remain limited. In vision, attention is either applied in conjunction with convolutional networks, or used to replace certain components of convolutional networks while keeping their overall structure in place. We show that this reliance on CNNs is not necessary and a pure transformer applied directly to sequences of image patches can perform very well on image classification tasks. When pre-trained on large amounts of data and transferred to multiple mid-sized or small image recognition benchmarks (ImageNet, CIFAR-100, VTAB, etc.), Vision Transformer (ViT) attains excellent results compared to state-of-the-art convolutional networks while requiring substantially fewer computational resources to train. 6k65JqUhADc |
| Category | Science & Technology |
| Tags | deeplearning | machinelearning | paperoverview | vit | transformer | visiontransformer |
