Dynamic Gesture Recognition by Using CNNs and Star RGB: a Temporal Information Condensation. https://arxiv.org/abs/1904.08505
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles. https://arxiv.org/abs/1904.08494
Understanding the Effectiveness of Ultrasonic Microphone Jammer. https://arxiv.org/abs/1904.08490
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurat... https://arxiv.org/abs/1904.08487
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images. https://arxiv.org/abs/1904.08482
A large-scale field test on word-image classification in large historical document collec... https://arxiv.org/abs/1904.08421
Neural Painters: A learned differentiable constraint for generating brushstroke paintings. https://arxiv.org/abs/1904.08410
A Selective Overview of Deep Learning
Fan et al.: https://arxiv.org/abs/1904.05526
#ArtificialIntelligence #DeepLearning #MachineLearning
Fan et al.: https://arxiv.org/abs/1904.05526
#ArtificialIntelligence #DeepLearning #MachineLearning
MR-based CT Generation (DCCC) Tensorflow Project
This repository is the implementations of the paper "MR-based Synthetic CT Generation using Deep Convolutional Neural Network Method,"
https://github.com/ChengBinJin/MRI-to-CT-DCNN-TensorFlow
This repository is the implementations of the paper "MR-based Synthetic CT Generation using Deep Convolutional Neural Network Method,"
https://github.com/ChengBinJin/MRI-to-CT-DCNN-TensorFlow
Fooling automated surveillance cameras: adversarial patches to attack person detection"
Thys et al.: https://arxiv.org/abs/1904.08653
#ArtificialIntelligence #DeepLearning #MachineLearning
Thys et al.: https://arxiv.org/abs/1904.08653
#ArtificialIntelligence #DeepLearning #MachineLearning
CS294-158 Deep Unsupervised Learning SP19
https://www.youtube.com/channel/UCf4SX8kAZM_oGcZjMREsU9w/videos?fbclid=IwAR01HPq5VLKX8aXwFbB4UWs5mZVgOOYOLUpjx_O2015rso-7U_H32hu-AKE
https://www.youtube.com/channel/UCf4SX8kAZM_oGcZjMREsU9w/videos?fbclid=IwAR01HPq5VLKX8aXwFbB4UWs5mZVgOOYOLUpjx_O2015rso-7U_H32hu-AKE
Self-Attention Generative Adversarial Networks
Zhang et al.: https://arxiv.org/abs/1805.08318
#DeepLearning #GenerativeAdversarialNetworks #MachineLearning
Zhang et al.: https://arxiv.org/abs/1805.08318
#DeepLearning #GenerativeAdversarialNetworks #MachineLearning
Functional brain network architecture supporting the learning of social networks in humans @ArtificialIntelligenceArticles
Tompson et al.: https://psyarxiv.com/r46gj/
#brainnetworks #neuroscience #socialnetworks #neuralnetworks @ArtificialIntelligenceArticles
Tompson et al.: https://psyarxiv.com/r46gj/
#brainnetworks #neuroscience #socialnetworks #neuralnetworks @ArtificialIntelligenceArticles
Tesla’s new self-driving chip is here, and this is your best look yet
https://www.theverge.com/2019/4/22/18511594/tesla-new-self-driving-chip-is-here-and-this-is-your-best-look-yet
https://www.theverge.com/2019/4/22/18511594/tesla-new-self-driving-chip-is-here-and-this-is-your-best-look-yet
Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features
Zhang et al.: https://arxiv.org/abs/1904.10014
#ArtificialIntelligence #DeepLearning #MachineLearning
Zhang et al.: https://arxiv.org/abs/1904.10014
#ArtificialIntelligence #DeepLearning #MachineLearning
arXiv.org
Linked Dynamic Graph CNN: Learning on Point Cloud via Linking...
Learning on point cloud is eagerly in demand because the point cloud is a common type of geometric data and can aid robots to understand environments robustly. However, the point cloud is sparse,...
"The anticipating brain is not a scientist: the free-energy principle from an ecological-enactive perspective"
Bruineberg et al.: https://www.ncbi.nlm.nih.gov/pubmed/30996493?dopt=Abstract
#ActiveInference #FreeEnergyPrinciple #Metastability
Bruineberg et al.: https://www.ncbi.nlm.nih.gov/pubmed/30996493?dopt=Abstract
#ActiveInference #FreeEnergyPrinciple #Metastability
www.ncbi.nlm.nih.gov
The anticipating brain is not a scientist: the free-energy principle from an ecological-enactive perspective. - PubMed - NCBI
Synthese. 2018;195(6):2417-2444. doi: 10.1007/s11229-016-1239-1. Epub 2016 Oct 21.
NVIDIA Tesla T4 GPUs are now available in Colab
Faster computations with more available memory.
Read more: https://cloud.google.com/blog/products/ai-machine-learning/nvidia-tesla-t4-gpus-now-available-in-beta
#ArtificialIntelligence #Colab #DeepLearning #MachineLearning
Faster computations with more available memory.
Read more: https://cloud.google.com/blog/products/ai-machine-learning/nvidia-tesla-t4-gpus-now-available-in-beta
#ArtificialIntelligence #Colab #DeepLearning #MachineLearning
Google Cloud Blog
NVIDIA Tesla T4 GPUs now available in beta | Google Cloud Blog
T4 GPU instances are now available publicly in beta in cloud regions around the world for machine learning, visualization and other GPU-accelerated workloads.