This repository contains a clean, self-contained implementation of the Video Swin Transformer architecture as described in "Video Swin Transformer" (CVPR 2022). The implementation supports loading ...

Abstract: Pleural effusion segmentation in computed tomography images is essential to its precise diagnosis and treatment but remains challenging due to blurred boundaries, heterogeneous morphology, ...

This work presents a novel mobile-friendly network for image de-noising obtained with Entropy-Regularized differentiable Neural Architecture Search (NAS ... Compared to the SOTA Swin-Transformer for ...

The model is implemented in satlas/model/model.py. Configuration files in configs/ define different components like the Swin Transformer backbone, FPN, and heads that are combined to create the model.

Learn More Today, virtually every cutting-edge AI product and model uses a transformer architecture. Large language models (LLMs) such as GPT-4o, LLaMA, Gemini and Claude are all transformer ...

Shockwave's design varies across Transformers media, with different iterations offering unique takes on the iconic character. The "Transformers: Prime" version of Shockwave is bulkier and more ...

In response, architects like Chasen are embracing disaster-resilient designs. The Palisades house, which took six years to complete, incorporated defensible space: a border area from which ...