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What convnets look at when they look at nudity
Ryan Compton
ryan@clarifai.com
Disclaimer
Please be advised that this presentation may contain
content which some viewers may find offensive.
Disclaimer
Please be advised that this presentation may contain
content which some viewers may find offensive.
API Demo
1996
Eventually someone will get real good at feature
engineering and the problem will be solved, right?
Fast-forward: CNNs
SFW training data
SFW training data
Learned low-dimensional
representations are rich in
semantic information
But How?
SFW training data
NSFW training data
convnet
Demo network for this talk (modified ZF net):
5 convolutional layers
3 fully-connected layers
2 softmax outputs (‘sfw’ and ‘nsfw’)
Train Test
Train Test
Publish
Train Test
Deploy to prod
and everything
breaks
And how does it do
that?
Occlusion
Experiment
Occlusion
Experiment
Deconvolutional Networks
• Provides way to map activations at high
layers back to the input
• Same operations as Convnet, but in reverse:
– Unpool feature maps
– Convolve unpooled maps
• Filters copied from Convnet
– Used here purely as a probe
– Originally proposed as unsupervised learning
method
– No inference, no learning
Input Image
Convolution (learned)
Unpooling
Feature maps
Non-linearity
[Zeiler et al. CVPR’10, ICCV’11]
Wavelets, curvelets, framelets, shapelets, shearlets...
Reversible Max Pooling
Pooled
Feature
Maps
Max
Locations
“Switches”
Pooling Unpooling
Feature Map
Reconstructed Feature Map
Reuse Feedforward Switches
2014
First Layer
Image from Zeiler, Matthew D., and Rob Fergus. "Visualizing and understanding convolutional networks." European
Conference on Computer Vision. Springer International Publishing, 2014.
Second Layer
Third Layer
Fourth Layer
Fifth Layer
conv1
conv2
conv3
conv4
conv5
fc8
https://en.wikipedia.org/wiki/Lenna
Lenna or Lena is the name given to a standard
test image widely used in the field of image
processing since 1973.[1] It is a picture of Lena
Söderberg, shot by photographer Dwight Hooker,
cropped from the centerfold of the November
1972 issue of Playboy magazine.
fc8
fc8
fc8
fc8
fc8
Oh and safe stuff too...
The Future...
Context matters
Context matters
Context matters
Context matters
Customization matters (demo)
Clarifai Research
Research
Data and Research
Data Science
● Collect data
● Improve
Models
Research
● Solve problems
we don’t have
solutions for
today
What about data?
Datasets
● 100+ datasets
● Almost every
vertical where
there are images
and videos
Data
● 1B+ labelled
images
● 1M+ labelled
videos
The Data / Research Team
You
clarifai.com/jobs
Some common questions:
What about
publishing?
Can I work
remotely?
Research Collaborations: How to Apply?
Where: research@clarifai.com
What:
● Name
● School
● Year in Program
● Professor
● Current Focus + Future Interests
● Resume
When: Accepting Applications Now!

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