This recommended practice specifies the general requirements of three dimensional (3D) object reconstruction based on deep learning, including terminology, requirements…

This recommended practice specifies framework and evaluation methods of audio-driven portraits based on artificial intelligence. In this recommended practice, the…

This standard defines a framework including requirements and evaluation methods for a two-dimensional (2D) real-person digital clothes model generation system…

This standard defines a unified text approach to describing neural network architectures. This standard specifies data requirements, coding formats of…

This guide provides data contribution measurement methods for federated machine learning. The document provides guidance with respect to data trading…

This standard outlines the toolchain for deploying artificial intelligence (AI) models on edge devices and specifies the functional requirements for…

This recommended practice provides a framework for the use of large-scale pre-trained deep learning models, including approaches, taxonomies, related roles,…

This recommended practice provides a framework for vulnerability tests for machine learning models in the computer vision domain. The document…

This recommended practice specifies principles, approaches, and key performance indicators for distributed training and inference of large-scale deep learning models.…

The standard defines specific terminology utilized in artificial intelligence and machine learning (AI/ML). The standard provides clear definition for relevant terms in…