GANs are broken at both the computational and algorithmic levels | #DeepLearning #computervision #argovision
Paper: https://arxiv.org/abs/1705.10461
Paper: https://arxiv.org/abs/1705.10461
arXiv.org
The Numerics of GANs
In this paper, we analyze the numerics of common algorithms for training Generative Adversarial Networks (GANs). Using the formalism of smooth two-player games we analyze the associated gradient...
A “standard intelligence model” to try unifying artificial & human intelligence | #deeplearning #argovision #AI
https://arxiv.org/ftp/arxiv/papers/1709/1709.10242.pdf
https://arxiv.org/ftp/arxiv/papers/1709/1709.10242.pdf
3D Real-Time #AugmentedReality hair. Dataset labeling: 6 years long | #deeplearning #AI #NeuralNetworks #argovision
https://youtu.be/KrswN0jFCwY
https://youtu.be/KrswN0jFCwY
YouTube
ModiFace 3D Real-Time Video Hair Coloration Demo
Generative 3D Shapes Using Autoencoder Networks | #deeplearning #computervision #NeuralNetworks
https://www.youtube.com/watch?time_continue=2&v=25xQs0Hs1z0
https://www.youtube.com/watch?time_continue=2&v=25xQs0Hs1z0
YouTube
Exploring Generative 3D Shapes Using Autoencoder Networks
We propose a new algorithm for converting unstructured triangle meshes into ones with a consistent topology for machine learning applications. We combine the...
Turning a horse into a zebra by CycleGAN | #deeplearning #sourcecode #argovision
https://www.youtube.com/watch?time_continue=1&v=9reHvktowLY
https://www.youtube.com/watch?time_continue=1&v=9reHvktowLY
YouTube
Turning a horse video into a zebra video (by CycleGAN)
GitHub: https://github.com/junyanz/CycleGAN Project: https://junyanz.github.io/CycleGAN/ Unpaired Image-to-Image Translation using Cycle-Consistent Adversari...
AVA: A Finely Labeled Video Dataset for Human Action Understanding | https://research.googleblog.com/2017/10/announcing-ava-finely-labeled-video.html
Research Blog
Announcing AVA: A Finely Labeled Video Dataset for Human Action Understanding
Posted by Chunhui Gu & David Ross, Software Engineers Teaching machines to understand human actions in videos is a fundamental research pr...
One pixel attack for fooling deep neural networks | https://arxiv.org/pdf/1710.08864.pdf
Latent space interpolation on Cifar by #Nvidia research | #deeplearning #argovision #artificialintelligence #NeuralNetworks #computervision
Generating Face animations by Sketching in Conceptual Space
via GANs
https://vusd.github.io/toposketch/
via GANs
https://vusd.github.io/toposketch/
Blind Image Deblurring Using Dark Channel Prior: https://sites.google.com/site/jspanhomepage/
#sourcecode #matlab
#sourcecode #matlab
Google
Jinshan Pan's Homepage
Knowledge Concentration: Learning 100k Object Classifiers in a Single CNN
| https://arxiv.org/pdf/1711.07607.pdf
#machinelearning #deeplearning #paper
| https://arxiv.org/pdf/1711.07607.pdf
#machinelearning #deeplearning #paper