HaGRIDv2 adds 15 gesture classes and richer "no gesture" samples to the existing HaGRID dataset, reaching over one million images and improving pre-training and false-positive performance.
https : / / users
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition
HaGRIDv2 adds 15 gesture classes and richer "no gesture" samples to the existing HaGRID dataset, reaching over one million images and improving pre-training and false-positive performance.