Advancements in Vision Segmentation Technology Based on Transformer

Advancements in Vision Segmentation Technology Based on Transformer

Abstract: Vision segmentation is a core task in the field of computer vision, aiming to classify pixels in images or video frames to partition them into different regions. Thanks to the rapid development of vision segmentation technology, it plays a critical role in various application areas such as autonomous driving, aerial remote sensing, and video … Read more

What Is the Transformer Model?

What Is the Transformer Model?

Welcome to the special winter vacation column “High-Tech Lessons for Kids” brought to you by Science Popularization China! Artificial intelligence, as one of the most cutting-edge technologies today, is changing our lives at an astonishing speed. From smart voice assistants to self-driving cars, from AI painting to machine learning, it opens up a future full … Read more

The Unsung Heroes Behind Sora? A Detailed Look at the Popular DiT: Embracing Transformer Diffusion Models

The Unsung Heroes Behind Sora? A Detailed Look at the Popular DiT: Embracing Transformer Diffusion Models

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, with an audience covering NLP graduate students, university professors, and industry researchers. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. … Read more

PredFormer: A Milestone in Spatial-Temporal Prediction Learning

PredFormer: A Milestone in Spatial-Temporal Prediction Learning

Follow our public account to discover the beauty of CV technology Spatial-temporal prediction learning is a field with a wide range of application scenarios, such as weather forecasting, traffic flow prediction, precipitation prediction, autonomous driving, and human motion prediction. When it comes to spatial-temporal prediction, we must mention the classic model ConvLSTM and the most … Read more

Applications and Impacts of Large Model Technology in Autonomous Driving

Applications and Impacts of Large Model Technology in Autonomous Driving

This article first summarizes the development history of large model technology, the iterative path of autonomous driving models, and the role of large models in the autonomous driving industry. Next, it details the basic definition, fundamental functions, and key technologies of large models, especially the Transformer attention mechanism and the pre-training-fine-tuning paradigm. The article also … Read more

Understanding the Differences Between Bahdanau and Luong Attention Mechanisms

Understanding the Differences Between Bahdanau and Luong Attention Mechanisms

Click the above “Visual Learning for Beginners” and choose to add a “Star” or “Top” Important content delivered first time From | Zhihu Author | Flitter Link | https://zhuanlan.zhihu.com/p/129316415 This article is for academic exchange only. If there is any infringement, please contact for deletion. The Attention mechanism has become one of the most important … Read more

Speech Recognition Method Based on Multi-Task Loss with Additional Language Model

Speech Recognition Method Based on Multi-Task Loss with Additional Language Model

Click the blue text to follow us DOI:10.3969/j.issn.1671-7775.2023.05.010 Open Science (Resource Service) Identifier Code (OSID): Citation Format: Liu Yongli, Zhang Shaoyang, Wang Yuheng, et al. Speech Recognition Method Based on Multi-Task Loss with Additional Language Model[J]. Journal of Jiangsu University (Natural Science Edition), 2023, 44(5):564-569. Fund Project: Shaanxi Provincial Key Industry Innovation Chain (Group) Project … Read more

Multi-Dialect Voice Recognition Method for the Railway Sector

Multi-Dialect Voice Recognition Method for the Railway Sector

0 Introduction The railway, as an important national infrastructure, integrates intelligent customer service systems with cloud computing, big data, and artificial intelligence technologies, enhancing service efficiency and passenger experience. Since 2018, the railway industry has been exploring the intelligentization of the 12306 customer service system, fully implementing the intelligent customer service system by the end … Read more

Fast and Effective Overview of Lightweight Transformers in Various Fields

Fast and Effective Overview of Lightweight Transformers in Various Fields

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and enterprise researchers. Community Vision is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from | RUC … Read more

Overview of 17 Efficient Variants of Transformer Models

Overview of 17 Efficient Variants of Transformer Models

Follow the public account “ML_NLP“ Set as “Starred” for heavy content delivered first-hand! Reprinted from | Xiaoyao’s Cute Selling House Written by | Huang Yu Source | Zhihu In the field of NLP, transformer has successfully replaced RNNs (LSTM/GRU), and has also found applications in CV, such as object detection and image annotation, as well … Read more