3 accepted papers
Detecting subtle visual anomalies in images remains challenging, particularly when only normal samples are available a priori. Such unsupervised anomaly detection is typically solved by measuring feature similarity of a query patch to a memory of normal patches. However, similarity alone does not re
Visual perception of an autonomous vehicle is a crucial component of autonomous driving technologies. While visual perception research has achieved promising performance in recent years, modern methods are mostly trained, applied, and tested on single clean images. Recently, deep learning-based perc…
Visual perception in autonomous driving is a crucial part of a vehicle to navigate safely and sustainably in different traffic conditions. However, in bad weather such as heavy rain and haze, the performance of visual perception is greatly affected by several degrading effects. Recently, deep learni…