Building these models from scratch requires AI expertise, large amounts of training data, and loads of compute power. Fortunately, transfer learning enables you to build custom models with a fraction of these resources. In this post, we walk through each step to build and deploy a computer vi...
FP-AI-VISION1 - STM32Cube function pack for high performance STM32 with artificial intelligence (AI) application for Computer Vision, FP-AI-VISION1, STMicroelectronics
Horizon的BPU(Brain processing unit)最初(originally designed)为计算视觉应用设计(computer vision application)。其第二代BPU是64-bit MIMD(Multi-instruction Multi-data)核心,可用于各种类型的神经网络(不仅是卷积神经网络)。 其神经网络可用于预测物体的移动(movement of objects)和现场解析(scene parsing)。第三代...
In this paper, some known Artificial Intelligence(AI) and computer vision techniques are applied to the problem of recognizing the writer of an off-line signature(signatory) among many possible signatories. It is shown by practical examples that the way those techniques are used is very effective...
This article is the content of the "Dev for Dev Column" series. The author is Zhou Shifu, an AI algorithm engineer of Shengwang Video Group. Face detection and face key point detection are the basic algorithms of computer vision. Behind many cool applications, such as beauty, stickers, and...
generation model, visual model and neural network model”.At present, the application fields of AI big models involve natural language processing, computer vision, manufacturing, the cultural industry, finance, medical care, education, retail, etc. In addition, AI big models in the fields of ...
Vision transformers (ViTs) are taking computer vision by storm, offering incredible accuracy and robust solutions for countless industries. However, there are many practical challenges to deploying ViTs, including pre-training, fine tuning, deploying, and managing the complexity of such a la...
The use of AI software in business solves many crucial tasks, such as: Processing huge layers of data; Working with disparate data from different sources and bringing them to a common denominator; The ability to issue clear analytics or forecasts based on processed data. ...
The application of artificial intelligence (AI) in STEM education (AI-STEM), as an emerging field, is confronted with a challenge of integrating diverse AI techniques and complex educational elements to meet instructional and learning needs. To gain a co
At present, the application fields of AI big models involve natural language processing, computer vision, manufacturing, the cultural industry, finance, medical care, education, retail, etc. In addition, AI big models ...