Date and Time
2022-04-07 10:00 오전
In the seminar, the Transformer Neural network architecture is presented. First, basic transformer for sequence processing is explained. We look at how the attention mechanism works and how position embedding is performed. Later we analyze more modern transformer architectures used for vision and PC applications. Specifically: ViT, DETR, Swin Transformer, and Point Transformer.
권한이 없습니다. 로그인 부탁드립니다. You don't have permission to access. Please login.
Has this presenter uploaded material to Lab Synology?
File Station > Seminar Materials > Lab Seminar Materials