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Jan, 2024
基于注意力机制的深度学习单目视觉里程计的运动一致性损失
Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning
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André O. Françani, Marcos R. O. A. Maximo
TL;DR
该论文提出了一种基于深度学习的视觉里程计的一致性损失函数，实验证明该方法提高了模型在KITTI里程计基准上的性能。
Abstract
deep learning algorithms
have driven expressive progress in many complex tasks. The
loss function
is a core component of deep learning techniques, guiding the learning process of neural networks. This paper contr
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