The Transformer architecture, introduced by Vaswani et al. in 2017, serves as the backbone of contemporary language models. Over the years, numerous modifications to this architecture have been ...

The backbone of the PCB diagnosis model is established on the Transformer architecture, effectively utilizing self-attention and parallel computing mechanisms to explore the inner correlation between ...

Abstract: This paper investigates the potential of dual CNN-transformer architectures for Generalizable Few-Shot Anomaly Detection (GFSAD), a practical yet understudied form of anomaly detection (AD).

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

ViT then processes these embeddings through the original transformer architecture: multi-headed self-attention with layer ... The attention blocks in the encoder and decoder use matrix multiplications ...

Have you ever wondered how chatbots like ChatGPT work? Check out this visual explanation of the complicated process.

Please see the demo.m. This page shows how to use a 3D morphable model as a spatial transformer within a convolutional neural network (CNN ... (Please hover over the image to see the subject's name ...