智能交互的物体识别增量学习技术综述

Incremental learning and object recognition system based on intelligent HCI:a survey

智能交互系统是研究人与计算机之间进行交流与通信,使计算机能够在最大程度上完成交互者的某个指令的一个领域。其发展的目标是实现人机交互的自主性、安全性和友好性。增量学习是实现这个发展目标的一个途径。本文对智能交互系统的任务、背景和获取信息来源进行简要介绍,主要对增量学习领域的已有工作进行综述。增量学习是指一个学习系统能不断地从新样本中学习新的知识,非常类似于人类自身的学习模式。它使智能交互系统拥有自我学习,提高交互体验的能力。文中对主要的增量学习算法的基本原理和特点进行了阐述,分析各自的优点和不足,并对进一步的研究方向进行展望。

Intelligent HCI systems focus on the interaction between computers and humans and study whether computers are able to apprehend human instructions. Moreover, this study aims to make the interaction more independent and interactive. To some extent, incremental learning is a way to realize this goal. This study briefly introduces the tasks, background, and information source of intelligent HCI systems ; in addition, it focuses on the summary of incremental learning. Similar to the learning mechanism of humans, incremental learning involves acquiring new knowledge on a continuous basis. This allows for the intelligent HCI systems to have the ability of self-growth. This study surveys the works that focus on incremental learning, including the mechanisms and their respective advantages and disadvantages, and highlights the future research directions.