Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection | #deeplearning #sourcecode #argovision 
https://www.pierrebaque.com/page-DeepOcclusion/
  https://www.pierrebaque.com/page-DeepOcclusion/
Real-time face emotion & gender classification by @ekholabs | #keras #OpenCV #sourcecode #deeplearning #argovision
https://github.com/ekholabs/face_classification
  
  https://github.com/ekholabs/face_classification
GitHub
  
  GitHub - artificially-ai/face_classification: Real-time face detection and emotion/gender classification using fer2013/imdb datasets…
  Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV. - artificially-ai/face_classification
🔥1
  Ready-to-use docker image with Anaconda + Keras + TensorFlow + PyTorch + MXNet | #deeplearning #sourcecode #argovision
https://github.com/DhavalThkkar/DeepLearningDocker
  
  https://github.com/DhavalThkkar/DeepLearningDocker
GitHub
  
  DhavalThkkar/DeepLearningDocker
  DeepLearningDocker - My custom Image for Quick setup of Deep Learning Libraries in Python on any machine.
  Matching the @Tate’s archive with the most recent news images from @Reuters | #deeplearning #facerec #argovision
https://www.aec.at/ai/en/recognition/
  
  https://www.aec.at/ai/en/recognition/
Artificial Intelligence
  
  Recognition
  
  Binarized Convolutional Landmark Localizers Face Alignment with Limited Resources | #deeplearning #sourcecode #argovision
https://github.com/1adrianb/2D-and-3D-face-alignment
  
  https://github.com/1adrianb/2D-and-3D-face-alignment
GitHub
  
  GitHub - 1adrianb/2D-and-3D-face-alignment: This repository implements a demo of the networks described in "How far are we from…
  This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)&q...
  A Qualitative Analysis on Failure Cases of ImageNet Classification | #deeplearning #paper #argovision
https://arxiv.org/abs/1709.03439
  https://arxiv.org/abs/1709.03439
Causal Video Object Segmentation | #deeplearning #sourcecode #argovision
https://github.com/brianrtaylor/cvos
  
  https://github.com/brianrtaylor/cvos
GitHub
  
  brianrtaylor/cvos
  cvos - Causal Video Object Segmentation
  Unity Machine Learning Agents | #news #machinelearning 
https://blogs.unity3d.com/2017/09/19/introducing-unity-machine-learning-agents/
  
  https://blogs.unity3d.com/2017/09/19/introducing-unity-machine-learning-agents/
Unity
  
  Introducing Unity Machine Learning Agents Toolkit
  Our two previous blog entries implied that there is a role games can play in driving the development of Reinforcement Learning algorithms. As the world’s most popular creation engine, Unity is at the crossroads between machine learning and gaming. It is critical…
  Building a Facial Recognition Pipeline with Deep Learning in #Tensorflow | #deeplearning #argovision
https://hackernoon.com/building-a-facial-recognition-pipeline-with-deep-learning-in-tensorflow-66e7645015b8
  
  https://hackernoon.com/building-a-facial-recognition-pipeline-with-deep-learning-in-tensorflow-66e7645015b8
Hackernoon
  
  Building a Facial Recognition Pipeline with Deep Learning in Tensorflow
  In my <a href="https://hackernoon.com/deep-learning-cnns-in-tensorflow-with-gpus-cba6efe0acc2" target="_blank">last tutorial</a> , you learned about convolutional neural networks and the theory behind them. In this tutorial, you’ll learn how to use a convolutional…
  SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
| #deeplearning #sourcecode
https://github.com/gsp-27/pytorch_Squeezenet
  
  | #deeplearning #sourcecode
https://github.com/gsp-27/pytorch_Squeezenet
GitHub
  
  GitHub - gsp-27/pytorch_Squeezenet: Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come
  Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come - GitHub - gsp-27/pytorch_Squeezenet: Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data...
  Evolution of #OpenCV: face detection and alignment using Multi-task Cascaded Convolutional Network | #deeplearning #argovision #sourcecode
https://github.com/kpzhang93/MTCNN_face_detection_alignment
  
  https://github.com/kpzhang93/MTCNN_face_detection_alignment
GitHub
  
  GitHub - kpzhang93/MTCNN_face_detection_alignment: Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural…
  Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks - kpzhang93/MTCNN_face_detection_alignment
  The biggest #3D dataset ever: 194,400 RGB-depth images with labels | #dataset #sourcecode #deeplearning #argovision
https://github.com/niessner/Matterport
  
  https://github.com/niessner/Matterport
GitHub
  
  GitHub - niessner/Matterport: Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)
  Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :) - niessner/Matterport
  Real-Time Monocular Segmentation and Pose Tracking of Multiple Objects | https://www.youtube.com/watch?v=-nFkNPqf1LU
  
  YouTube
  
  Real-Time Monocular Segmentation and Pose Tracking of Multiple Objects (ECCV'16)
  The video shows a real-time system capable of segmenting multiple 3D objects and tracking their pose using a single RGB camera, based on prior shape knowledge. The system uses twist-coordinates for pose parametrization and a pixel-wise second-order optimization…
  A MNIST-like fashion product database by Zalando | #deeplearning #dataset
https://github.com/zalandoresearch/fashion-mnist
  
  https://github.com/zalandoresearch/fashion-mnist
GitHub
  
  GitHub - zalandoresearch/fashion-mnist: A MNIST-like fashion product database. Benchmark
  A MNIST-like fashion product database. Benchmark :point_down:  - GitHub - zalandoresearch/fashion-mnist: A MNIST-like fashion product database. Benchmark