论文标题
视频Swin Transformers用于以Egentric视频理解 @ ego4d挑战2022
Video Swin Transformers for Egocentric Video Understanding @ Ego4D Challenges 2022
论文作者
论文摘要
我们将视频Swin Transformer作为基础体系结构实现，用于无返回时间定位和对象状态变更分类的任务。我们的方法在这两个挑战上都取得了竞争性能。
We implemented Video Swin Transformer as a base architecture for the tasks of Point-of-No-Return temporal localization and Object State Change Classification. Our method achieved competitive performance on both challenges.
