This standard applies to the design, development, application, and evaluation of large-scale deep learning models for artificial intelligence. The standard…
IEEE The Institute of Electrical and Electronics Engineers
This recommended practice specifies tools and indexes for evaluating content generated by artificial intelligence technology. © Copyright 2024 IEEE –…
This standard specifies the basic functions, performance requirements, software ecosystem, and application scenarios of the deep learning chip for the…
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 recommended practice specifies the general requirements of three dimensional (3D) object reconstruction based on deep learning, including terminology, requirements…
This standard outlines the toolchain for deploying artificial intelligence (AI) models on edge devices and specifies the functional requirements for…
This guide provides data contribution measurement methods for federated machine learning. The document provides guidance with respect to data trading…
This standard defines a unified text approach to describing neural network architectures. This standard specifies data requirements, coding formats of…
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…
P3142
Recommended Practice on Distributed Training and Inference for Large-scale Deep Learning Models
This recommended practice specifies principles, approaches, and key performance indicators for distributed training and inference of large-scale deep learning models.…
