FAST

Closed weights University of Cambridge May 2006

No estimate

No hardware requirements for this model

The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.

On record

Full specification

Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.

Origin

Who built this model, where, and when it was published.

Organisation
University of Cambridge
Organisation type
Academia
Country
United Kingdom of Great Britain and Northern Ireland
Published
7 May 2006
Authors
Edward Rosten and Tom Drummond

What it does

The problem areas the model was built for. A model can carry several of each.

Domain
Video
Task
Corner detection

Size

How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.

Training data
tokens

How it is classified

Labels the source dataset applies when tracking notable models, and how confident it is in the entry.

Why it is tracked
Highly cited
Record confidence
Unknown
Citations
5,419

Sources

Where this record came from and when it was last checked.

Reference
Machine Learning for High-Speed Corner Detection
Last updated
28 November 2025

What the numbers mean

Background

FAST was published by University of Cambridge, in United Kingdom of Great Britain and Northern Ireland, in May 2006. The organisation is categorised as academia.

It works in Video, and is recorded as doing corner detection.

This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.

What went into building it

It is tracked in the underlying dataset for one reason in particular: highly cited.

Answers

FAST — common questions

01

Who created FAST?

FAST was published by University of Cambridge, based in United Kingdom of Great Britain and Northern Ireland, categorised as academia.

02

When was FAST released?

FAST was published in May 2006. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.

03

What is FAST used for?

FAST works in Video, and is recorded as handling corner detection. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.

04

What GPU do I need to run FAST?

None. FAST is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.

05

Is FAST open source?

The licensing for FAST was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.

06

How many parameters does FAST have?

No parameter count has been published for FAST, which is why no memory or speed figure appears on this page.

Source

Original publication

Record last updated 28 November 2025

The other direction

Looking at it from the other side?

This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.