1 citations · 3 across the 4 of their papers we have counts for
4 papers
Efficient Global Occupancy Mapping for Mobile Robots using OpenVDB
Raphael Hagmanns, Thomas Emter, Marvin Grosse-Besselmann +1
In this work we present a fast occupancy map building approach based on the VDB datastructure. Existing log-odds based occupancy mapping systems are often not able to keep up with…
Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation
Zeyun Zhong, David Schneider, Michael Voit +2
Although human action anticipation is a task which is inherently multi-modal, state-of-the-art methods on well known action anticipation datasets leverage this data by applying ens…
Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection
Tobias Kalb, Björn Mauthe, Jürgen Beyerer
Continual learning for Semantic Segmentation (CSS) is a rapidly emerging field, in which the capabilities of the segmentation model are incrementally improved by learning new class…
Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation
Tobias Kalb, Jürgen Beyerer
Class-incremental learning for semantic segmentation (CiSS) is presently a highly researched field which aims at updating a semantic segmentation model by sequentially learning new…