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Found 3 papers, 1 papers with code
Learning Sequence Representations by Non-local Recurrent Neural Memory
The key challenge of sequence representation learning is to capture the long-range temporal dependencies.
Non-local Recurrent Neural Memory for Supervised Sequence Modeling
Typical methods for supervised sequence modeling are built upon the recurrent neural networks to capture temporal dependencies.
Extend the shallow part of Single Shot MultiBox Detector via Convolutional Neural Network
Single Shot MultiBox Detector (SSD) is one of the fastest algorithms in the current object detection field, which uses fully convolutional neural network to detect all scaled objects in an image.
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