Scientific Research Publishing

Geo-Refined Point Transformer: Coordinate-Aware Excitation and Positional Upsampling for 3D Scene Segmentation ()

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
IEEE

A Novel Hybrid Architecture With Fast Lightweight Encoder and Transformer Under Attention Fusion for the Enhancement of Sand Dust and Haze Image Restoration

Abstract: Outdoor weather conditions such as haze, fog, sand dust, and low light significantly degrade image quality, causing color distortions, low contrast, and poor visibility. In spite of the ...
IEEE

Face Sketch Synthesis via Mamba-Transformer Encoder and Style-Enhanced Wavelet Convolution

Abstract: Converting face photos into sketch images has diverse applications in law enforcement and digital entertainment. However, this task remains challenging due to the significant modality ...
Hosted on MSN

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

Add HumanV: decoder-only causal LM #42982

Dictionary containing the configuration parameters for the RoPE embeddings. Must include `rope_theta`. Dictionary containing the configuration parameters for the RoPE embeddings. attention_bias ...
Hosted on MSN

Residual connections explained: Preventing transformer failures

Training deep neural networks like Transformers is challenging. They suffering from vanishing gradients, ineffective weight updates, and slow convergence. In this video, we break down one of the most ...