A CNN-LSTM model predicts pupil center coordinates from event camera frames with roughly 81% pixel accuracy on a public eye-tracking dataset, outperforming CNN-GRU and CNN-BiLSTM in this comparison.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A deep learning approach to track eye movements based on events
A CNN-LSTM model predicts pupil center coordinates from event camera frames with roughly 81% pixel accuracy on a public eye-tracking dataset, outperforming CNN-GRU and CNN-BiLSTM in this comparison.