来讲讲 Transformer 架构的基本原理？Encoder 和 Decoder 是什么？Transformer 这道题想听的不是「Attention is all you need」这种口号，而是 RNN 卡在哪两点、Attention 怎么把这两点都破了、三种架构变体打了一圈为什么是 Decoder-only 赢到现在。 👔面试官：来讲讲 Transformer 架构 ...

最近重温DETR模型，越发感觉detr模型结构精妙之处，不同于anchor base 与anchor free设计，直接利用100框给出预测结果，使用可学习learn query深度查找，使用二分匹配方式训练模型。为此，我基于detr源码提取解码decode、loss计算等系列模块，并重构、修改、整合一套 ...

Abstract: Occluded pedestrian detection is very challenging in computer vision, because the pedestrians are frequently occluded by various obstacles or persons, especially in crowded scenarios. In ...

Abstract: In this article we prove that the general transformer neural model undergirding modern large language models (LLMs) is Turing complete under reasonable assumptions. This is the first work to ...

This repo is used for recording, tracking, and benchmarking several recent transformer-based visual segmentation methods, as a supplement to our survey. If you find any work missing or have any ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Indo Tech Transformers Ltd., incorporated in the year 1992, is a Small Cap company (having a market cap of Rs 3,331.18 Crore) operating in Power sector. Indo Tech Transformers Ltd. key ...

OmniESI：一个用于酶-底物相互作用预测的统一渐进式条件深度学习框架原文题名：OmniESI: A unified framework for enzyme-substrate interaction prediction with ...

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...

There’s dozens, maybe hundreds of movies where “America!” is the predominant theme—some reverent, some scathing, all of it ...