First, a network framework comprising an embedding network, positional encoding, and a multilayer Transformer encoder is employed to extract dynamic nonlinear features. Second, a decoupling layer with ...

Three corruption families (i.e., density/masking, noise, and affine transformation) and a total of 14 corruption types are investigated with traditional non-Transformer encoders. Besides the popular ...

The Transformers repository provides a comprehensive implementation of the Transformer architecture, a groundbreaking model that has revolutionized both Natural Language Processing (NLP) and Computer ...

A transformer-enabled model that takes in images, detects characters, and predicts a sequence of characters as a proxy for detecting the words. Trained on OCRTextExtraction Dataset From Kaggle with ...