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Transformer encoder architecture explained simply

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...
GitHub

Zero-Training Context Extension for Transformer Encoders via Nonlinear Absolute Positional Embeddings Interpolation

Official implementation of "Zero-Training Context Extension for Transformer Encoders via Nonlinear Absolute Positional Embeddings Interpolation". Paper preprint is coming soon. This implementation ...
GitHub

ritwikrohan/Transformer-based-Surgical-Tool-Segmentation

Clone this repository using these command in jupyter notebook: git clone https://github.com/ritwikrohan7/ML_project_601.675_Abhay_Bhupendra_Ritwik.git %cd ML_project ...
IEEE

Asymmetric Strip Transformer With Position Vectors Embedding for Lane Detection

Abstract: Lane detection is an important aspect of autonomous driving environment perception. Traditionally, lane detection has been regarded as a semantic segmentation task, and the geometric ...
IEEE

An Image Semantic Communication System Based on GAN and Relative Position-Encoding

Abstract: In image semantic communication, the complex wireless channel environment leads to the loss of image details and performance degradation during transmission. To address this issue, we ...