8 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CV2020★ 8 cited
Unsupervised Domain Adaptation from Synthetic to Real Images for Anchorless Object Detection
Tobias Scheck, Ana Perez Grassi, Gangolf Hirtz
Synthetic images are one of the most promising solutions to avoid high costs associated with generating annotated datasets to train supervised convolutional neural networks (CNN).…
cs.CV2020★ 1 cited
A CNN-based Feature Space for Semi-supervised Incremental Learning in Assisted Living Applications
Tobias Scheck, Ana Perez Grassi, Gangolf Hirtz
A Convolutional Neural Network (CNN) is sometimes confronted with objects of changing appearance ( new instances) that exceed its generalization capability. This requires the CNN t…