1 citations · 4 across the 5 of their papers we have counts for
4 papers · 1 filter
DiffAnt: Diffusion Models for Action Anticipation
Zeyun Zhong, Chengzhi Wu, Manuel Martin +3
Anticipating future actions is inherently uncertain. Given an observed video segment containing ongoing actions, multiple subsequent actions can plausibly follow. This uncertainty…
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…