Apr 12, 2016 · The combination of Convolutional and Recurrent Neural Networks in these models has proven to outperform the previous state of the art, obtaining ...
Aug 13, 2016 · We present a new methodology for natural language video description that makes use of deeper structures and a double-way analysis of the input ...
This work proposes pushing further this model by introducing two contributions into the encoding stage, producing richer image representations by combining ...
Duration: 7:33
Posted: Jul 20, 2024
Posted: Jul 20, 2024
Apr 13, 2016 · First, producing richer image representations by combining object and location information from Convolutional Neural Networks and second, ...
Duration: 20:04
Posted: Apr 22, 2019
Posted: Apr 22, 2019
Missing: Video | Show results with:Video
Translating Videos to Natural Language Using Deep Recurrent Neural Networks ... deep neural networks to capture essential semantic information from videos.
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Jan 9, 2024 · A bi-directional recurrent neural network (Bi-RNN) is a type of recurrent neural network (RNN) that processes input data in both forward and backward ...
Firstly, the model produces richer video representations, including image feature, motion feature and audio feature, than other similar researches. Secondly, ...
We present a multi-stream bi-directional recurrent neu- ral network for fine-grained action detection. Recently, two- stream convolutional neural networks ...