The authors improve monocular SLAM scale estimation with a deeper CNN plus bidirectional LSTM, and show synthetic-only training reaches accuracies comparable to real-data training.
Long-term recurrent convolutional net- works for visual recognition and description
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Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data
The authors improve monocular SLAM scale estimation with a deeper CNN plus bidirectional LSTM, and show synthetic-only training reaches accuracies comparable to real-data training.