In interactive segmentation, the role of seed information provided by the user is significant. A seed is a clue to ease the ambiguity of the problem by making the object segmentation task interactive. However, in most deep network-based works, seed information has been used as an additional channel for input images. In this paper, we propose a novel bi-directional attention module for more actively using seed information. The proposed bi-directional seed attention module (BSA) operates based on the feature map of the segmentation network and the input seed map. Through our attention module, the network feature map is affected by the seed map, while the feature also updates the seed information. As a result, our system concentrates on the seed information and more accurately derives the segmentation result required by the user. We have conducted validation experiments on the four standard benchmark datasets, including SBD, GrabCut, Berkeley, and DAVIS, and achieved the state-of-the-art results.

中文翻译：

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交互式图像分割的双向种子注意力网络

在交互式分割中，用户提供的种子信息的作用很重要。种子是通过使对象分割任务具有交互性来缓解问题模糊性的线索。然而，在大多数基于深度网络的工作中，种子信息已被用作输入图像的附加通道。在本文中，我们提出了一种新颖的双向注意模块，用于更积极地使用种子信息。提出的双向种子注意模块（BSA）基于分割网络的特征图和输入种子图进行操作。通过我们的注意力模块，网络特征图受种子图影响，同时特征也更新种子信息。因此，我们的系统专注于种子信息，更准确地推导出用户所需的分割结果。