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Decoding high energy physics with AI and machine learning
In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...
IEEE2mon
Decoder-Only Image Registration
To address this, we propose LessNet, a simplified network architecture with only a learnable decoder, while completely omitting a learnable encoder. Instead, LessNet replaces the encoder with simple, ...
GitHub6mon
CVPR 2024 - SED - A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation
这篇文章提出了一种名为 SED 的简单编码器解码器，用于结合 CLIP 的 open-vocabulary 能力实现了开放词汇语义分割 ...
the-decoder8mon
'OCR 2.0' model converts images of text, formulas, notes, and shapes into editable text
GOT's architecture consists of an image encoder with approximately 80 million parameters and a speech decoder with 500 million parameters ... geometric figures, and diagrams through specialized ...
marktechpost1y
LLM2Vec: A Simple AI Approach to Transform Any Decoder-Only LLM into a Text Encoder Achieving SOTA Performance on MTEB in the Unsupervised and Supervised Category
unsupervised method to convert any pre-trained decoder-only LLM into a text encoder. LLM2Vec is very data and parameter-efficient and does not require any labeled data. There are three simple steps in ...