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Updated: May 3, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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从稀疏的语义到丰富的实例:通过几何先验实现标签高效的LiDAR全光学细分

Weijian Zhang1, Haichuan Song1, Zhizhong Zhang1

  • 1School of Computer Science and Technology, East China Normal University, Shanghai, 200062, China.

Neural networks : the official journal of the International Neural Network Society
|March 7, 2026
PubMed
概括

本研究引入了LiDAR点云全视分段的新框架,通过使用最小的语义标签和没有实例标签,显著降低了注释成本. 该方法有效地生成和完善实例标签,优于传统方法.

关键词:
标签效率较高的标签李达尔 (LiDAR) 是一种激光雷达.全视觉细分系统的细分.一个点云点云.伪标签是一种伪标签.

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Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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