TL;DR通过交互式干预训练(IIT)方法,本研究设计了一个端到端优化的多目标跟踪结构和训练协议来解释神经网络在 3D 检测,多目标跟踪和运动预测方面的决策,从而提供解释与可解释性。
Abstract
Imagine experiencing a crash as the passenger of an autonomous vehicle.
Wouldn't you want to know why it happened? Current end-to-end optimizable deep
neural networks (DNNs) in 3D detection, multi-object tracking