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 ...

Abstract: Small object detection (SOD) given aerial images suffers from an information imbalance across different feature scales. This makes it extremely challenging to perform accurate SOD. Existing ...

Introduction: Precisely segmenting lung nodules in CT scans is essential for diagnosing lung cancer, though it is challenging due to the small size and intricate shapes of these nodules. Methods: This ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

Background: Abdominal ultrasonography is a primary diagnostic tool for evaluating medical conditions within the abdominal cavity. Accurate determination of the relative locations of intra-abdominal ...

Transformers are the backbone of modern Large Language Models (LLMs) like GPT, BERT, and LLaMA. They excel at processing and generating text by leveraging intricate mechanisms like self-attention and ...

I am attempting to run UCE on h5ad files in a conda environment made with the following yaml file code: name: uce channels: - conda-forge - pytorch - nvidia - defaults dependencies: - python - pandas ...