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基于剩余注意力机制的语义细分和深度估计

Naihua Ji1, Huiqian Dong1, Fanyun Meng1

  • 1School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266033, China.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
概括

本研究引入了一种多任务剩余注意网络 (MTRAN),以改善自动驾驶场景的理解. 这种新的方法通过整合注意力机制和随机加权策略来增强语义细分和深度估计.

关键词:
语义细分 语义细分是指语义细分.深度估计估计的估计.渐变平衡的梯度平衡是什么剩余的注意力 剩余的注意力

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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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