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

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

For the past few years, a single axiom has ruled the generative AI industry: if you want to build a state-of-the-art model, ...

Nvidia launched the new version of its frontier models, Nemotron 3, by leaning in on a model architecture that the world’s most valuable company said offers more accuracy and reliability for agents.

Abstract: Semantic segmentation of remote sensing images is challenging due to complex scenes, substantial variations in object scales, and ambiguous boundaries. In this study, we propose a novel ...

MIAFEx is a Transformer-based extractor for medical images that refines the [CLS] token to produce robust features, improving results on small or imbalanced datasets and supporting feature selection ...

Background: Volumetric modulated arc therapy (VMAT) necessitates rigorous pre-treatment patient-specific quality assurance (PSQA) to ensure dosimetric accuracy, yet conventional manual verification ...

An interactive web-based simulation that lets learners follow a single token step-by-step through every component of a Transformer encoder/decoder stack. travel-through-transformers/ ├── src/ │ ├── ...

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 ...