标题： 通过灵巧聚焦改进自我视频中的关键步骤识别 显示英文标题

标题： Improving Keystep Recognition in Ego-Video via Dexterous Focus

摘要： 本文中，我们探讨了从自我中心视角理解人类活动的挑战。由于许多活动中头部运动的高度动态性，传统的活动识别技术在自我中心视频中面临独特的挑战。我们提出了一种框架，通过将自我中心视频输入限制为一个稳定的手部焦点视频，以一种独立于网络架构的方式解决这些挑战。我们证明，仅此简单的视频转换就在 Ego-Exo4D Fine-Grained Keystep Recognition 基准上超越了现有的自我中心视频基线，且无需对底层模型基础设施进行任何更改。 显示英文摘要

摘要： In this paper, we address the challenge of understanding human activities from an egocentric perspective. Traditional activity recognition techniques face unique challenges in egocentric videos due to the highly dynamic nature of the head during many activities. We propose a framework that seeks to address these challenges in a way that is independent of network architecture by restricting the ego-video input to a stabilized, hand-focused video. We demonstrate that this straightforward video transformation alone outperforms existing egocentric video baselines on the Ego-Exo4D Fine-Grained Keystep Recognition benchmark without requiring any alteration of the underlying model infrastructure.