In this article, I will be sharing my takeaways from reading Background Matting: The World is Your Green Screen by Sengupta et.al.
Visual effects in movies make use of a green screen to superimpose computer-generated landscapes into the background. That’s green-screen matting.
Writing this article after reading Fixing the train-test resolution discrepancy (Touvron et. al). I will include the relevant sections of the paper in brackets. I have also used images from the paper.
The current best practice for image preprocessing to train image classifiers looks a little something like this: (Section 1)
train_transform = transforms.Compose([
])test_transform = transforms.Compose([
We take different image preprocessings steps at train and test time. And here’s why. …
Greetings! In this article, I will be consolidating my thoughts on Jeremy Howard’s implementation of Kaiming Init from fastai’s Lesson 9. When I encountered this implementation, I had a few troubles in my understanding:
The code for Kaiming Init in the fully connected layer (as presented in Lesson 8) is very different from that in the convolutional layer. I guess this was what threw me off a bit.