Tag Archives: image recognition

Some CNN visualization tools and techniques

Deep Visualization Toolbox

Github: https://github.com/yosinski/deep-visualization-toolbox

Understanding Image Representations by Inverting Them

Paper: https://arxiv.org/pdf/1412.0035v1.pdf

Learning FRAME Models Using CNN filters

Project page:  http://www.stat.ucla.edu/~yang.lu/project/deepFrame/main.html

Convergent Learning: Do different neural networks learn the same representations?

Github: https://github.com/yixuanli/convergent_learning

Torch-visbox

https://github.com/Aysegul/torch-visbox

Plot caffe models online

http://ethereon.github.io/netscope/#/editor

Grad-CAM: Gradient-weighted Class Activation Mapping

https://github.com/ramprs/grad-cam/

Quiver: Interactive Feature Visualization for Keras

https://github.com/jakebian/quiver

CS231 Stanford notes on Visualization

http://cs231n.github.io/understanding-cnn/

 

Selfai: A Method for Understanding Beauty in Selfies

Selfies are everywhere. With different fun masks, poses and filters,  it goes crazy.  When we coincide with any of these selfies, we automatically give an intuitive score regarding the quality and beauty of the selfie. However, it is not really possible to describe what makes a beautiful selfie. There are some obvious attributes but they are not fully prescribed.

With the folks at 8bit.ai, we decided to develop a system which analyzes selfie images and scores them in accordance to its quality and beauty.  The idea was to see whether it is possible to mimic that bizarre perceptual understanding of human with the recent advancements of AI. And if it is, then let's make a mobile application and let people use it for whatever purpose. Spoiler alert! We already developed Selfai app available on iOS and Android and we have one instagram bot @selfai_robot. You can check before reading.

 

Selfai - available on iOS and Android
Selfai - available on iOS and Android

 

Continue reading Selfai: A Method for Understanding Beauty in Selfies