Understand and build embedding models, focusing on word and sentence embeddings, dual encoder architectures. Learn to train embedding models using contrastive loss, implement them in semantic search ...

Abstract: Dominant dual-encoder models enable efficient image-text retrieval but suffer from limited accuracy, while the cross-encoder models offer higher accuracy at the expense of efficiency.

Hi, I'm Bill. I'm a software developer with a passion for making and electronics. I do a lot of things and here is where I document my learning in order to be able to inspire other people to make ...

Qualcomm has just signed an agreement to acquire Arduino, and the goal of the purchase is to “combine Qualcomm’s leading-edge products and technologies with Arduino’s vast ecosystem and community to ...

BRANSON, Mo.—Link Electronics has unveiled the Gemini Dual Caption Encoder, a next-generation captioning solution for broadcasters and institutions. By enabling two caption encoders to connect through ...

Dual-brand hotels reflect the hotel industry's new priorities: leaner costs to build and appealing to different types of guests. Hotel developers are increasingly pairing two brands in a single ...

Abstract: In recent years, there has been a growing demand for remote sensing image semantic segmentation in various applications. The key to semantic segmentation lies in the ability to globally ...

After completing a degree in Film, Television, and Cultural Studies at Manchester Metropolitan University, I decided to pursue my love of writing and video games by entering the world of video game ...

Hierarchical Imitation Learning (HIL) addresses long-horizon decision-making by breaking tasks into sub-goals, but it faces challenges like limited supervisory labels and the need for extensive expert ...