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View my complete profile. Thursday, June 2, 2016. Sequence to Sequence – Video to Text. Venugopalan, Subhashini, et al. "Sequence to sequence-video to text." Proceedings of the IEEE International Conference on Computer Vision. 2015. Video to text is a popular research topic recently. Several methods have been proposed such as using CNN "mean pooling" and get nice result. The figure above shows some result of S2VT. There's a classical and clear explanation of LSTM:. S2VT outperformed all other methods by ...

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View my complete profile. Thursday, June 2, 2016. Sequence to Sequence – Video to Text. Venugopalan, Subhashini, et al. Sequence to sequence-video to text. Proceedings of the IEEE International Conference on Computer Vision. 2015. Video to text is a popular research topic recently. Several methods have been proposed such as using CNN mean pooling and get nice result. The figure above shows some result of S2VT. There's a classical and clear explanation of LSTM:. S2VT outperformed all other methods by ...

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Happy Boyo | happyboyo.blogspot.com Reviews

https://happyboyo.blogspot.com

View my complete profile. Thursday, June 2, 2016. Sequence to Sequence – Video to Text. Venugopalan, Subhashini, et al. "Sequence to sequence-video to text." Proceedings of the IEEE International Conference on Computer Vision. 2015. Video to text is a popular research topic recently. Several methods have been proposed such as using CNN "mean pooling" and get nice result. The figure above shows some result of S2VT. There's a classical and clear explanation of LSTM:. S2VT outperformed all other methods by ...

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happyboyo.blogspot.com

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Happy Boyo: Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

http://happyboyo.blogspot.com/2016/04/deep-compression-compressing-deep.html

View my complete profile. Thursday, April 28, 2016. Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding. Han, Song, Huizi Mao, and William J. Dally. "Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding." arXiv preprint arXiv:1510.00149 (2015). Mobile phones are the main part of modern life, as well as those phone apps. In this paper, the author proposed a framework including three parts of compression.

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Happy Boyo: June 2016

http://happyboyo.blogspot.com/2016_06_01_archive.html

View my complete profile. Thursday, June 2, 2016. Sequence to Sequence – Video to Text. Venugopalan, Subhashini, et al. "Sequence to sequence-video to text." Proceedings of the IEEE International Conference on Computer Vision. 2015. Video to text is a popular research topic recently. Several methods have been proposed such as using CNN "mean pooling" and get nice result. The figure above shows some result of S2VT. There's a classical and clear explanation of LSTM:. S2VT outperformed all other methods by ...

3

Happy Boyo: Sequence to Sequence – Video to Text

http://happyboyo.blogspot.com/2016/06/sequence-to-sequence-video-to-text.html

View my complete profile. Thursday, June 2, 2016. Sequence to Sequence – Video to Text. Venugopalan, Subhashini, et al. "Sequence to sequence-video to text." Proceedings of the IEEE International Conference on Computer Vision. 2015. Video to text is a popular research topic recently. Several methods have been proposed such as using CNN "mean pooling" and get nice result. The figure above shows some result of S2VT. There's a classical and clear explanation of LSTM:. S2VT outperformed all other methods by ...

4

Happy Boyo: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

http://happyboyo.blogspot.com/2016/05/faster-r-cnn-towards-real-time-object.html

View my complete profile. Thursday, May 5, 2016. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. Ren, Shaoqing, et al. "Faster R-CNN: Towards real-time object detection with region proposal networks." Advances in Neural Information Processing Systems. 2015. Recent object detection frameworks such as Fast R-CNN are consist of two main part:. R-CNN (region-based convolutional neural networks). Because the convolutional layers need to be shareable the author had tried:. Meanw...

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Happy Boyo: May 2016

http://happyboyo.blogspot.com/2016_05_01_archive.html

View my complete profile. Friday, May 27, 2016. Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups. Hinton, Geoffrey, et al. "Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups." Signal Processing Magazine, IEEE 29.6 (2012): 82-97. People have been using GMM-HMM system in speech recognition for a long time. Here's a clear explanation of GMM-HMM system in Chinese:. However, " GMM have a serious ...

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View my complete profile. Thursday, June 2, 2016. Sequence to Sequence – Video to Text. Venugopalan, Subhashini, et al. "Sequence to sequence-video to text." Proceedings of the IEEE International Conference on Computer Vision. 2015. Video to text is a popular research topic recently. Several methods have been proposed such as using CNN "mean pooling" and get nice result. The figure above shows some result of S2VT. There's a classical and clear explanation of LSTM:. S2VT outperformed all other methods by ...

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