Talks given on 2020-06-15.
0:00 - Introduction by Lukas Neumann, University of Oxford
13:41 - Winner 1 by Yosuke Shinya
23:46 - Winner 2 by Zhenyu Xu, DeepBlue AI
Pedestrian detection at night from a RGB camera is an under-represented yet very important problem, where current state-of-the-art vision algorithms fail. Computer vision methods for detection at night have not received much attention, despite the fact they are a critical building block of many systems such as safe and robust autonomous cars. The competition aims to bridge this gap by utilizing the NightOwls dataset – the dataset consists of 279k fully-annotated night images captured in three countries in real traffic by an industry-standard camera, making the data as realistic as possible.
https://www.nightowls-dataset.org/nightowls-competition-2020
