Computer Vision • 61 methods
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.
Subcategories
Method | Year | Papers |
---|---|---|
1980 | 15206 | |
2013 | 4691 | |
2016 | 974 | |
2016 | 959 | |
2017 | 860 | |
2012 | 531 | |
2015 | 516 | |
2015 | 176 | |
2017 | 173 | |
2017 | 112 | |
2020 | 100 | |
2018 | 61 | |
2020 | 56 | |
2018 | 47 | |
2016 | 26 | |
2014 | 26 | |
2016 | 20 | |
2019 | 17 | |
2018 | 14 | |
2017 | 14 | |
2000 | 12 | |
2019 | 9 | |
2019 | 8 | |
2019 | 7 | |
2019 | 7 | |
2022 | 4 | |
2017 | 4 | |
2019 | 4 | |
2021 | 4 | |
2017 | 3 | |
2018 | 3 | |
2021 | 3 | |
2015 | 3 | |
2019 | 2 | |
2020 | 2 | |
2020 | 2 | |
2019 | 2 | |
2021 | 2 | |
2019 | 1 | |
2019 | 1 | |
2019 | 1 | |
2021 | 1 | |
2021 | 1 | |
2021 | 1 | |
2021 | 1 |