n State-of-the-art object detection until 2012:

n Deep Supervised Learning (Krizhevsky, Sutskever, Hinton 2012; also LeCun, Bengio, Ng, Darrell, ...):

n ~1.2 million training images from ImageNet[Deng, Dong, Socher, Li, Li, Fei-Fei, 2009]

Object Detection in Computer Vision

Input

Image

Hand-engineered

features (SIFT,

HOG, DAISY, ...)

Support

Vector

Machine

(SVM)

“cat”

“dog”

“car”

...

Input

Image

8 - layer neural network with 60 million

parameters to learn

“cat”

“dog”

“car”

...

Pieter Abbeel --UC Berkeley | Gradescope| Covariant.AI