Deep Convolutional Networks with Recurrence for Eye-Tracking
This thesis explores the use of temporally recurrent connections in convolutional neural networks for eye-tracking. We specifically investigate the impact of replacing the convolutional layers in a regular CNN with convolutional LSTMs and replacing the fully connected feature layers with regular RNN...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240608 |