Comparison of representative pose estimation methods, their input modalities, performance, and applicability to robotic systems.

Compares key pose estimation approaches, categorizing them by detection type, input data (RGB or RGB-D), and achievable frame rates. It also indicates whether each method has been applied in robotic systems, providing a quick reference for assessing their suitability in real-world robot vision applications.

本数据集对比了各类关键姿态估计（pose estimation）方法，并按照检测类型、输入数据类型（RGB或RGB-D）以及可实现的帧率进行分类。同时标注了各方法是否已应用于机器人系统，可为评估其在实际机器人视觉应用中的适配性提供快速参考依据。