Brief intro into object detection with python.
https://towardsdatascience.com/object-detection-with-10-lines-of-code-d6cb4d86f606
#python #tensorflow #cv
https://towardsdatascience.com/object-detection-with-10-lines-of-code-d6cb4d86f606
#python #tensorflow #cv
Medium
Object Detection with 10 lines of code
One of the important fields of Artificial Intelligence is Computer Vision. Computer Vision is the science of computers and software systems that can recognize and understand images and scenes…
New #facebook research paper on using #GAN for “opening” eyes on the portraits.
https://research.fb.com/publications/eye-in-painting-with-exemplar-generative-adversarial-networks/
https://research.fb.com/publications/eye-in-painting-with-exemplar-generative-adversarial-networks/
Meta Research
Eye In-Painting with Exemplar Generative Adversarial Networks - Meta Research
At Meta, research permeates everything we do. We believe the most
interesting research questions are derived from real world problems.
interesting research questions are derived from real world problems.
Basic intro into #python #scraping with lxml and requests: https://dev.to/timber/an-intro-to-web-scraping-with-lxml-and-python-32hl
DEV Community
An Intro to Web Scraping with lxml and Python
In this post, you will learn how to use lxml and Python to scrape data from Steam. I will teach you the basics of XPath so that you can scrape data from any similar website easily. In the end, you will also learn how to generate a JSON output from your script.…
"Breast density classification with deep convolutional neural networks"
Github: https://github.com/nyukat/breast_density_classifier
Arxiv: https://arxiv.org/abs/1711.03674
By N. Wu, myself, Y. Shen, J. Su, S. G. Kim, E. Kim
Github: https://github.com/nyukat/breast_density_classifier
Arxiv: https://arxiv.org/abs/1711.03674
By N. Wu, myself, Y. Shen, J. Su, S. G. Kim, E. Kim
GitHub
GitHub - nyukat/breast_density_classifier: Breast density classification with deep convolutional neural networks
Breast density classification with deep convolutional neural networks - nyukat/breast_density_classifier
DensePose: Dense Human Pose Estimation In The Wild
Facebook AI Research group presented a paper on pose estimation. That will help Facebook with better understanding of the processed videos.
NEW: DensePose-COCO, a large-scale ground-truth dataset with image-to-surface correspondences manually annotated on 50K COCO images.
Project website: http://densepose.org/
Arxiv: https://arxiv.org/abs/1802.00434
#facebook #fair #cvpr #cv #CNN #dataset
Facebook AI Research group presented a paper on pose estimation. That will help Facebook with better understanding of the processed videos.
NEW: DensePose-COCO, a large-scale ground-truth dataset with image-to-surface correspondences manually annotated on 50K COCO images.
Project website: http://densepose.org/
Arxiv: https://arxiv.org/abs/1802.00434
#facebook #fair #cvpr #cv #CNN #dataset
arXiv.org
DensePose: Dense Human Pose Estimation In The Wild
In this work, we establish dense correspondences between RGB image and a surface-based representation of the human body, a task we refer to as dense human pose estimation. We first gather dense...
Best paper award at #CVPR2018 main idea: study twenty five different visual tasks to understand how & when transfer learning works from one task to another, reducing demand for labelled data.
Video: https://youtu.be/SUq1CiX-KzM
Project website: http://taskonomy.stanford.edu
Arxiv: https://arxiv.org/pdf/1804.08328.pdf
Video: https://youtu.be/SUq1CiX-KzM
Project website: http://taskonomy.stanford.edu
Arxiv: https://arxiv.org/pdf/1804.08328.pdf
YouTube
Taskonomy's TASK BANK results
http://taskonomy.vision/
Try the live demo on your query image: https://taskonomy.vision/tasks
Download the models in the bank: https://github.com/StanfordVL/taskonomy/tree/master/taskbank
Try the live demo on your query image: https://taskonomy.vision/tasks
Download the models in the bank: https://github.com/StanfordVL/taskonomy/tree/master/taskbank
How to Do Distributed Deep Learning for Object Detection Using Horovod on Azure
Link: https://blogs.technet.microsoft.com/machinelearning/2018/06/20/how-to-do-distributed-deep-learning-for-object-detection-using-horovod-on-azure/
#cloud #horovod #cv #dl
Link: https://blogs.technet.microsoft.com/machinelearning/2018/06/20/how-to-do-distributed-deep-learning-for-object-detection-using-horovod-on-azure/
#cloud #horovod #cv #dl
Another #CVPR2018 paper award: Global Pose Estimation with Attention-based RNNs.
Arxiv: https://arxiv.org/abs/1802.06857
#pose #rnn #dl
Arxiv: https://arxiv.org/abs/1802.06857
#pose #rnn #dl
The natural language decathlon benchmark to do well on ten different nlp tasks including question answering, translation, summarization, sentiment analysis by Salesforce research team.
Project website: https://einstein.ai/research/the-natural-language-decathlon
PDF link: https://einstein.ai/static/images/pages/research/decaNLP/decaNLP.pdf
Github: https://github.com/salesforce/decaNLP
#nlp #dl
Project website: https://einstein.ai/research/the-natural-language-decathlon
PDF link: https://einstein.ai/static/images/pages/research/decaNLP/decaNLP.pdf
Github: https://github.com/salesforce/decaNLP
#nlp #dl
Salesforce Research
Blog posts by Salesforce Research
Microsoft Research announced Open Data project! This single, cloud-hosted location offers datasets representing many years of data curation and research efforts by Microsoft.
https://www.microsoft.com/en-us/research/blog/announcing-microsoft-research-open-data-datasets-by-microsoft-research-now-available-in-the-cloud/
#data #microsoft #opensource
https://www.microsoft.com/en-us/research/blog/announcing-microsoft-research-open-data-datasets-by-microsoft-research-now-available-in-the-cloud/
#data #microsoft #opensource
Microsoft Research
Announcing Microsoft Research Open Data - Datasets by Microsoft Research now available in the cloud - Microsoft Research
The Microsoft Research Outreach team has worked extensively with the external research community to enable adoption of cloud-based research infrastructure over the past few years. Through this process, we experienced the ubiquity of Jim Gray’s fourth paradigm…
Kaggle №1 Winning Approach for Plant Seedlings Classification
https://medium.com/@shridhar743/kaggle-1-winning-approach-for-image-classification-challenge-9c1188157a86
https://medium.com/@shridhar743/kaggle-1-winning-approach-for-image-classification-challenge-9c1188157a86
Medium
Kaggle #1 Winning Approach for Image Classification Challenge
This post is about the approach I used for the Kaggle competition: Plant Seedlings Classification. I was the #1 in the ranking for a couple…
Results of the OpenAI's competition on reinforcement learning:
https://blog.openai.com/first-retro-contest-retrospective/
https://blog.openai.com/first-retro-contest-retrospective/
OpenAI
Retro Contest: Results
The first run of our Retro Contest—exploring the development of algorithms that can generalize from previous experience—is now complete. Though many approaches were tried, top results all came from tuning or extending existing algorithms such as PPO and…
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Google Docs
@opendatascience audience research
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Translating music to predict a musician’s body movements
Long story short: animating personalized avatar with the help of neural networks.
https://research.fb.com/translating-music-to-predict-a-musicians-body-movements/
#lstm #cvpr2018 #facebook
Long story short: animating personalized avatar with the help of neural networks.
https://research.fb.com/translating-music-to-predict-a-musicians-body-movements/
#lstm #cvpr2018 #facebook
Facebook Research
Translating music to predict a musician’s body movements - Facebook Research
When pianists play a musical piece on a piano, their body reacts to the music. Their fingers strike piano keys…
Data Science by ODS.ai 🦜
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Google Docs
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UPD : 🔥💪135 people are making the future of this channel / 1545 views of the post with link.
And there are a lot of words of support, thank you, dear subscribers!
This is a day to remembered. #OpenAI 's team of five neural networks, OpenAI Five, has started to defeat amateur human teams (including a semi-pro team) at Dota 2:
https://blog.openai.com/openai-five/
It is important, because Dota2 is a way more complicated game than Chess or Go, where #AI has already surpassed human players.
#rl #reinforcementlearning #dl #dota2 #lstm
https://blog.openai.com/openai-five/
It is important, because Dota2 is a way more complicated game than Chess or Go, where #AI has already surpassed human players.
#rl #reinforcementlearning #dl #dota2 #lstm