- I wrote an overview of what methods and softwares are available for computer vision. Computer vision is really powerful these days ! https://medium.com/@rom1504/learning-computer-vision-41398ad9941f 5 comments computervision
Linked pages
- GitHub - hooram/ownphotos: Self hosted alternative to Google Photos https://github.com/hooram/ownphotos 138 comments
- Machine Learning is Fun! Part 4: Modern Face Recognition with Deep Learning | by Adam Geitgey | Medium https://medium.com/@ageitgey/machine-learning-is-fun-part-4-modern-face-recognition-with-deep-learning-c3cffc121d78 112 comments
- GitHub - ageitgey/face_recognition: The world's simplest facial recognition api for Python and the command line https://github.com/ageitgey/face_recognition 65 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- ImageNet http://image-net.org/index 12 comments
- https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/#0 10 comments
- [1406.2661] Generative Adversarial Networks https://arxiv.org/abs/1406.2661 7 comments
- GitHub - eriklindernoren/Keras-GAN: Keras implementations of Generative Adversarial Networks. https://github.com/eriklindernoren/Keras-GAN 5 comments
- [1503.03832] FaceNet: A Unified Embedding for Face Recognition and Clustering http://arxiv.org/abs/1503.03832 1 comment
- LFW Face Database : Main http://vis-www.cs.umass.edu/lfw/index.html 1 comment
- [1704.04861] MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications https://arxiv.org/abs/1704.04861 0 comments
- GitHub - tensorflow/tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. https://github.com/tensorflow/tensor2tensor 0 comments
- MIT Places Database for Scene Recognition http://places.csail.mit.edu/ 0 comments
- [1809.11096] Large Scale GAN Training for High Fidelity Natural Image Synthesis https://arxiv.org/abs/1809.11096 0 comments
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