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
DeepLens by @amazon is now in pre-sale: https://aws.amazon.com/en/deeplens/
Amazon Web Services, Inc.
AWS DeepLens – Deep learning enabled video camera for developers - AWS
AWS DeepLens helps put deep learning in the hands of developers, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.
A new class from MIT to start with the practice of deep learning through the applied theme of building a self-driving car: https://selfdrivingcars.mit.edu/
Researchers at University of Illinois create adversarial face pattern that blocks neural network face detector (Faster RCNN): https://arxiv.org/abs/1712.02494
But our face model still perfectly works: http://www.vision-ary.net/2015/03/largest-boosted-cascades-opencv-lbp-haar-hog/
#deeplearning #machinelearning #ArtificialIntelligence
But our face model still perfectly works: http://www.vision-ary.net/2015/03/largest-boosted-cascades-opencv-lbp-haar-hog/
#deeplearning #machinelearning #ArtificialIntelligence
Vision-ary
HAAR LBP HOG Cascades for OpenCV – updated 2021 - Vision-ary
Introduction
In the last years, Haar LBP and HOG cascades for OpenCV became popular thanks to the even more satisfying detection capabilities of a wide range of objects. The success is motivated by the efficiency and the capability of this approach to detect…
In the last years, Haar LBP and HOG cascades for OpenCV became popular thanks to the even more satisfying detection capabilities of a wide range of objects. The success is motivated by the efficiency and the capability of this approach to detect…