Using integrated ML to deliver low-latency mobile VR graphics
https://ai.facebook.com/blog/using-integrated-ml-to-deliver-low-latency-mobile-vr-graphics/
https://ai.facebook.com/blog/using-integrated-ml-to-deliver-low-latency-mobile-vr-graphics/
Facebook
Using integrated ML to deliver low-latency mobile VR graphics
We are sharing details on a new low-latency, power-efficient framework for running machine learning in the rendering pipeline for standalone VR devices that use mobile chipsets.
One-track minds: Using AI for music source separation
https://tech.fb.com/one-track-minds-using-ai-for-music-source-separation/
https://tech.fb.com/one-track-minds-using-ai-for-music-source-separation/
Facebook Technology
One-track minds: Using AI for music source separation
Facebook AI researchers have developed Demucs, a system that takes a regular audio file of a song and separates out the guitars, drums, vocals, and bass with uncanny accuracy.
Covid-19, your community, and you — a data science perspective
https://www.fast.ai/2020/03/09/coronavirus/
https://www.fast.ai/2020/03/09/coronavirus/
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Real-Time 3D Object Detection on Mobile Devices with MediaPipe
https://ai.googleblog.com/2020/03/real-time-3d-object-detection-on-mobile.html
https://ai.googleblog.com/2020/03/real-time-3d-object-detection-on-mobile.html
Imbalanced Multiclass Classification with the Glass Identification Dataset
https://machinelearningmastery.com/imbalanced-multiclass-classification-with-the-glass-identification-dataset/
https://machinelearningmastery.com/imbalanced-multiclass-classification-with-the-glass-identification-dataset/
MachineLearningMastery.com
Imbalanced Multiclass Classification with the Glass Identification Dataset - MachineLearningMastery.com
Multiclass classification problems are those where a label must be predicted, but there are more than two labels that may be predicted. These are challenging predictive modeling problems because a sufficiently representative number of examples of each class…
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
Code: https://github.com/HRNet/Higher-HRNet-Human-Pose-Estimation
Paper: https://arxiv.org/abs/1908.10357
Code: https://github.com/HRNet/Higher-HRNet-Human-Pose-Estimation
Paper: https://arxiv.org/abs/1908.10357
Rethinking Image Mixture for Unsupervised Visual Representation Learning
Code: https://github.com/szq0214/Rethinking-Image-Mixture-for-Unsupervised-Learning
Paper: https://arxiv.org/abs/2003.05438v1
Code: https://github.com/szq0214/Rethinking-Image-Mixture-for-Unsupervised-Learning
Paper: https://arxiv.org/abs/2003.05438v1
Neural Baseline and GECA for Grounded SCAN
This repository contains a multi-modal neural sequence-to-sequence model with a CNN to parse a world state and joint attention over input instruction sequences and world states.
Github: https://github.com/LauraRuis/multimodal_seq2seq_gSCAN
Paper: https://arxiv.org/abs/2003.05161
This repository contains a multi-modal neural sequence-to-sequence model with a CNN to parse a world state and joint attention over input instruction sequences and world states.
Github: https://github.com/LauraRuis/multimodal_seq2seq_gSCAN
Paper: https://arxiv.org/abs/2003.05161
Higher accuracy on vision models with EfficientNet-Lite
https://blog.tensorflow.org/2020/03/higher-accuracy-on-vision-models-with-efficientnet-lite.html
Paper: https://arxiv.org/abs/1905.11946
https://blog.tensorflow.org/2020/03/higher-accuracy-on-vision-models-with-efficientnet-lite.html
Paper: https://arxiv.org/abs/1905.11946
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features
https://github.com/aosokin/os2d
Paper: https://arxiv.org/abs/2003.06800v1
https://github.com/aosokin/os2d
Paper: https://arxiv.org/abs/2003.06800v1
Basic Data Cleaning for Machine Learning (That You Must Perform)
https://machinelearningmastery.com/basic-data-cleaning-for-machine-learning/
https://machinelearningmastery.com/basic-data-cleaning-for-machine-learning/
Visual Transfer Learning for Robotic Manipulation
https://ai.googleblog.com/2020/03/visual-transfer-learning-for-robotic.html
Video: https://www.youtube.com/watch?v=7tFO2V0sYJg&feature=emb_logo
https://ai.googleblog.com/2020/03/visual-transfer-learning-for-robotic.html
Video: https://www.youtube.com/watch?v=7tFO2V0sYJg&feature=emb_logo
Google AI Blog
Visual Transfer Learning for Robotic Manipulation
Posted by Yen-Chen Lin, Research Intern and Andy Zeng, Research Scientist, Robotics at Google The idea that robots can learn to directl...
Semantic Pyramid for Image Generation
Github: https://semantic-pyramid.github.io
Paper: https://arxiv.org/abs/2003.06221
Github: https://semantic-pyramid.github.io
Paper: https://arxiv.org/abs/2003.06221
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Massively Scaling Reinforcement Learning with SEED RL
https://ai.googleblog.com/2020/03/massively-scaling-reinforcement.html
Paper: https://arxiv.org/abs/1910.06591
https://ai.googleblog.com/2020/03/massively-scaling-reinforcement.html
Paper: https://arxiv.org/abs/1910.06591
An AI program that plays Flappy Bird using reinforcement learning.
Code: https://github.com/taivu1998/FlapAI-Bird
Model: https://stanford-cs221.github.io/autumn2019-extra/posters/18.pdf
Paper: https://arxiv.org/abs/2003.09579
Code: https://github.com/taivu1998/FlapAI-Bird
Model: https://stanford-cs221.github.io/autumn2019-extra/posters/18.pdf
Paper: https://arxiv.org/abs/2003.09579
GitHub
GitHub - taivu1998/FlapAI-Bird: An AI program that plays Flappy Bird using reinforcement learning.
An AI program that plays Flappy Bird using reinforcement learning. - taivu1998/FlapAI-Bird
How to Develop Multi-Output Regression Models with Python
https://machinelearningmastery.com/multi-output-regression-models-with-python/
https://machinelearningmastery.com/multi-output-regression-models-with-python/
Anomaly detection with Keras, TensorFlow, and Deep Learning
https://www.pyimagesearch.com/2020/03/02/anomaly-detection-with-keras-tensorflow-and-deep-learning/
https://www.pyimagesearch.com/2020/03/02/anomaly-detection-with-keras-tensorflow-and-deep-learning/
PyImageSearch
Anomaly detection with Keras, TensorFlow, and Deep Learning - PyImageSearch
In this tutorial, you will learn how to perform anomaly and outlier detection using autoencoders, Keras, and TensorFlow.
BachGAN: High-Resolution Image Synthesis from Salient Object Layout
Github: https://github.com/Cold-Winter/BachGAN
Paper: https://arxiv.org/abs/2003.11690v1
Github: https://github.com/Cold-Winter/BachGAN
Paper: https://arxiv.org/abs/2003.11690v1
How to Calculate Feature Importance With Python
https://machinelearningmastery.com/calculate-feature-importance-with-python/
https://machinelearningmastery.com/calculate-feature-importance-with-python/