When what is not enough True, sometimes it’s vital to distinguish between different kinds of objects. Is that a car speeding towards me, in which case I’d ...
Sigrid Keydana
This post is the first in a loose series exploring forecasting of spatially-determined data over time. By spatially-determined I mean that whatever the ...
Today, we use the convLSTM introduced in a previous post to predict El Niño-Southern Oscillation (ENSO). ENSO refers to a changing pattern of sea surface ...
In a sense, image segmentation is not that different from image classification. It’s just that instead of categorizing an image as a whole, segmentation ...
In a sense, image segmentation is not that different from image classification. It’s just that instead of categorizing an image as a whole, segmentation ...
In a sense, image segmentation is not that different from image classification. It’s just that instead of categorizing an image as a whole, segmentation ...
Convolutional neural networks (CNNs) are great – they’re able to detect features in an image no matter where. Well, not exactly. They’re not indifferent ...
A Preamble, sort of As we’re writing this – it’s April, 2023 – it is hard to overstate the attention going to, the hopes associated with, and the fears ...
Daniel Falbel
Today, we resume our exploration of group equivariance. This is the third post in the series. The first was a high-level introduction: what this is all ...