17 citations · 31 across the 5 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.CV2023★ 17 cited
Object Detector Differences when using Synthetic and Real Training Data
Martin Georg Ljungqvist, Otto Nordander, Markus Skans +3
To train well-performing generalizing neural networks, sufficiently large and diverse datasets are needed. Collecting data while adhering to privacy legislation becomes increasingl…
q-bio.QM2023★ 2 cited
EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical and Life Science Text
Rafsan Ahmed, Petter Berntsson, Alexander Skafte +8
Background Medical and life science research generates millions of publications, and it is a great challenge for researchers to utilize this information in full since its scale and…