Methods › Computer Vision › Image Feature Extractors
Image Feature Extractors
Image Feature Extractors are functions or modules that can be used to learn representations from images. The most common type of feature extractor is a convolution where a kernel slides over the image, allowing for parameter sharing and translation invariance. Below you can find a continuously updating list of image feature extractors.
Methods
All 4 methods in this collection, most-tagged first. Year is the archive's introduced_year; the archive stores 2000 when it has none, shown here as “–”. Papers counts distinct papers the archive tags with the method. Click a heading to sort.
| Non-Local Operation | – | 181 |
| Involution | – | 5 |
| Local Relation Layer | – | 3 |
| Hamburger | – | 2 |