33 citations · 54 across the 2 of their papers we have counts for
4 papers
Structural Knowledge Distillation for Object Detection
Philip de Rijk, Lukas Schneider, Marius Cordts +1
Knowledge Distillation (KD) is a well-known training paradigm in deep neural networks where knowledge acquired by a large teacher model is transferred to a small student. KD has pr…
Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection
Nils Gählert, Nicolas Jourdan, Marius Cordts +2
Detecting vehicles and representing their position and orientation in the three dimensional space is a key technology for autonomous driving. Recently, methods for 3D vehicle detec…
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos +6
Visual understanding of complex urban street scenes is an enabling factor for a wide range of applications. Object detection has benefited enormously from large-scale datasets, esp…
A Discontinuous Neural Network for Non-Negative Sparse Approximation
Martijn Arts, Marius Cordts, Monika Gorin +2
This paper investigates a discontinuous neural network which is used as a model of the mammalian olfactory system and can more generally be applied to solve non-negative sparse app…