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Found 4 papers, 1 papers with code
Deep Multi-Kernel Convolutional LSTM Networks and an Attention-Based Mechanism for Videos
Herein, we propose a new enhancement to convolutional LSTM networks that supports accommodation of multiple convolutional kernels and layers.
FishNet: A Camera Localizer using Deep Recurrent Networks
This paper proposes a robust localization system that employs deep learning for better scene representation, and enhances the accuracy of 6-DOF camera pose estimation.
Semi-supervised Learning for Convolutional Neural Networks via Online Graph Construction
The recent promising achievements of deep learning rely on the large amount of labeled data.
Mediated Experts for Deep Convolutional Networks
Our architecture achieves this with the help of expert networks: A network is trained on a disjoint subset of a given dataset and then run in parallel to other experts during deployment.
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