Question

求哪位大哥大姐帮忙翻译下

In [13] a salient proto-object detection model based on selective visual attention is suggested in the way that the objects are attended to before recognized. In [14] a task-driven object-based
visual attention model for robot applications is proposed, which involves five components: pre-attentive object based segmentation, bottom-up still attention, bottom-up motion attention, top-down object-based biasing and contour based object representation. Task-specific moving object detection and still object detection are operated based on this model. Up to now, switching of top-down and bottom-up attention has only been proposed in [12] and [15]. However, the switching in those systems is activated by users manually. To perform the switching autonomously, we define transition conditions to trigger the switching from top-down to bottom-up and from bottom-up to top-down, in order to realize an autonomous visual attention selection.

Answer 1

在[13]proto-object检测模型的显著基于选择性视觉注意力的方式提出了在所有对象都参加了在认可。在[14]驱动”的高校统整

视觉注意力机器人模型,提出了一种应用主要有5个部分基础分割、自下而上pre-attentive对象还注意,自下而上的自顶向下运动的关注,基于轮廓偏倚和统整对象表示。任务特有的移动天体检测还有目标检测的操作在此模型的基础上。到目前为止,以及由下往上交换只关注提出一[12]和[15]。然而,开关在那些系统用户手动对光敏感。自动切换履行,我们定义转换条件触发了切换中自顶向下,从自下而上的自顶向下自下而上,,以实现自治视觉注意力的选择。