TL;DR本文研究了深度学习中对 3D 场景识别任务的影响，发现对于单目深度估计和姿态估计，添加微小的扰动会导致预测出现明显偏差，网络具有一定的漏洞和不足。
Abstract
Advances in deep learning have resulted in steady progress in computer vision
with improved accuracy on tasks such as object detection and semantic
segmentation. Nevertheless, deep neural networks are vulnerable to adversarial
attacks, thus presenting a challenge in reliable deployment