"Joint Background Reconstruction and Foreground Segmentation via A Two-stage Convolutional Neural Network
" outperform by 4.9% the current state of the art in foreground detection | https://arxiv.org/pdf/1707.07584.pdf
#paper #deeplearning
" outperform by 4.9% the current state of the art in foreground detection | https://arxiv.org/pdf/1707.07584.pdf
#paper #deeplearning
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AR smartglasses headset: Magic Leap One lightfield AR headset "Creator Edition" includes Lightpack and Control (6 DOF controller) | Ready for the market at the beginning of 2018.
the #MagicLeap glasses will cost approx. 2,500$
Further improvements in the DNN module include faster R-CNN support, Javascript bindings and acceleration of OpenCL implementation.
#OpenCV 3.4 straight to #DeepLearning | https://opencv.org/opencv-3-4.html
#OpenCV 3.4 straight to #DeepLearning | https://opencv.org/opencv-3-4.html
voidAR: the Chinese alternative to Vuforia | recognizing and tracking the target in a massive number of images (unlimited).
https://www.voidar.net/uploads/%E3%80%90Demo%E6%BC%94%E7%A4%BA%E3%80%91%E7%9C%9F%E5%AE%9E%E7%8E%AF%E5%A2%83%E8%9E%8D%E5%90%88%EF%BC%88%E9%BE%99%EF%BC%89_%E5%A4%AA%E8%99%9AAR_MRbeta_20161226.mp4
https://www.voidar.net/uploads/%E3%80%90Demo%E6%BC%94%E7%A4%BA%E3%80%91%E7%9C%9F%E5%AE%9E%E7%8E%AF%E5%A2%83%E8%9E%8D%E5%90%88%EF%BC%88%E9%BE%99%EF%BC%89_%E5%A4%AA%E8%99%9AAR_MRbeta_20161226.mp4
Deep Learning for Artificial Intelligence
: a full master course with video-lectures, slides and projects | https://telecombcn-dl.github.io/2017-dlai/
: a full master course with video-lectures, slides and projects | https://telecombcn-dl.github.io/2017-dlai/
telecombcn-dl.github.io
Deep Learning for Artificial Intelligence
Course page for Deep Learning for Artificial Intelligence at UPC TelecomBCN, Barcelona, Catalonia.
A new package for #tensorflow to train 10x bigger nets with only 20% of CPU increase | https://github.com/openai/gradient-checkpointing
GitHub
GitHub - cybertronai/gradient-checkpointing: Make huge neural nets fit in memory
Make huge neural nets fit in memory. Contribute to cybertronai/gradient-checkpointing development by creating an account on GitHub.