The knowledge replay technique has been widely used in many tasks such a...
Exemplar-free incremental learning is extremely challenging due to
inacc...
In the context of skeleton-based action recognition, graph convolutional...
Reconstruction-based methods play an important role in unsupervised anom...
Object detection involves two sub-tasks, i.e. localizing objects in an i...
Graph Convolutional Networks (GCNs) have attracted increasing interests ...
This report summarizes IROS 2019-Lifelong Robotic Vision Competition
(Li...
Spatio-temporal feature learning is of central importance for action
rec...
Person re-identification (ReID) aims to match people across multiple
non...
Skeleton-based human action recognition has recently drawn increasing
at...
Deep region-based object detector consists of a region proposal step and...