Unlike the commonly used UNet-based diffusion models, Diffusion Transformers apply the transformer architecture ... the model into a dedicated condition encoder for semantic extraction and a velocity ...

As Artificial Intelligence (AI) technology advances, the need for efficient and scalable inference solutions has grown ...

Abstract: With the Transformer architecture achieving impressive results in the vision domain. It has become a current popular research to explore more potentials of Transformer mixed architectures ...

Image provenance analysis is crucial in this context, as it identifies relevant images within a database and constructs a relationship graph by mining hidden manipulation and transformation cues, ...

To create a machine that works and thinks just like humans is a mid 20th-century idea that evolved over decades to reach its present stage. Just like any other machine or product, it has been through ...

Hand-Gesture-2-Robot is an image classification vision-language encoder model fine-tuned from google ... 126 domain categories using the SiglipForImageClassification architecture The Transformers ...

This repository contains the implementation of a deep learning model for real-life violence detection using the Vision Transformer for video classification (ViViT) architecture ... passing through the ...