Profile picture
Radek Osmulski @radekosmulski
, 4 tweets, 3 min read Read on Twitter
This is how little code it takes to implement a siamese net using @fastdotai and @pytorch.

I share this because I continue to be amazed.
Here is a refactored version that will be easier to change
The models above were my naive adaptations of the simple siamese network concept from cs.utoronto.ca/~gkoch/files/m… (screenshot on the left below) to a CNN setting.

On the right is the network from the Learning Deep Convolutional Feature Hierarchies section but using pretrained models
Intuitively, this probably works well when we have really well aligned images. I don't think I will have this luxury so in order to add more positional invariance I could do this.

Not sure if I am onto anything here though - only way to find out is via training.
Missing some Tweet in this thread?
You can try to force a refresh.

Like this thread? Get email updates or save it to PDF!

Subscribe to Radek Osmulski
Profile picture

Get real-time email alerts when new unrolls are available from this author!

This content may be removed anytime!

Twitter may remove this content at anytime, convert it as a PDF, save and print for later use!

Try unrolling a thread yourself!

how to unroll video

1) Follow Thread Reader App on Twitter so you can easily mention us!

2) Go to a Twitter thread (series of Tweets by the same owner) and mention us with a keyword "unroll" @threadreaderapp unroll

You can practice here first or read more on our help page!

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just three indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member and get exclusive features!

Premium member ($30.00/year)

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!