IEEE

Transforming Disability Into Ability: An Explainable Vision-to-Voice Image Captioning Framework Using Transformer Models and Edge Computing

Abstract: Image captioning is an emerging field at the intersection of computer vision and natural language processing (NLP). It has shown great potential to enhance accessibility by automatically ...
IEEE

VITA: Revolutionizing Traffic Analysis for Autonomous Vehicles with CVT and Encoder-Decoder Integration

Abstract: Recent advancements in sensor technologies, including camera-based systems integrated with computer vision and deep learning, have significantly transformed Advanced Driving Assistance ...
GitHub

Question Regarding the Separate VAE Decoder for the 0.5B Model

I've noticed that while the VAE decoders for the 1.5B and 0.5B models share the same architecture, their parameters (weights) are different. This leads to a few questions: Why was a new VAE decoder ...
GitHub

vLLM BART Model Plugin

BART is an encoder-decoder model that is particularly effective for sequence-to-sequence tasks like summarization, translation, and text generation. Florence-2 is a vision-language model from ...