Computer Vision

Weights in the final layer of common visual models appear as horizontal bands. We investigate how and why.

A family of early-vision neurons reacting to directional transitions from high to low spatial frequency.

An overview of all the neurons in the first five layers of InceptionV1, organized into a taxonomy of 'neuron groups.'

An example project using webpack and svelte-loader and ejs to inline SVGs

In Part 3 , we have reviewed models in the R-CNN family. All of them are region-based object detection algorithms. They can achieve hig

[Updated on 2018-12-20: Remove YOLO here. Part 4 will cover multiple fast object detection algorithms, including YOLO.] [Updated on 2018-12-27: Add bbox regress

Part 1 of the “Object Detection for Dummies” series introduced: (1) the concept of image gradient vector and how HOG algorithm summarizes the inform

How neural networks build up their understanding of images

I’ve never worked in the field of

We’ve created images that reliably fool neural network classifiers when viewed from varied scales and perspectives. This challenges a claim from last week that