Perception Encoder, PE, is the core vision stack in Meta’s Perception Models project. It is a family of encoders for images, video, and audio that reaches state of the art on many vision and audio ...

An unexpected revisit to my earlier post on mouse encoder hacking sparked a timely opportunity to reexamine quadrature encoders, this time with a clearer lens and a more targeted focus on their signal ...

Can a compact late interaction retriever index once and deliver accurate cross lingual search with fast inference? Liquid AI released LFM2-ColBERT-350M, a compact late interaction retriever for ...

Encoder Products Company (EPC), a designer and manufacturer of motion feedback devices, has announced the release of a new line of IO-Link enabled encoders. Built to deliver seamless integration with ...

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.

I just annotate stage 1 code to get rerank results by CrossEncoder directly, but the rerank results are very poor, code is like this: from mteb import MTEB import mteb from sentence_transformers ...

Create a utility function that uses a cross-encoder model to rerank search results. This utility will be used to improve semantic search results by providing more accurate relevance scoring. Create a ...