Computer Vision • 63 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 | 19146 | |
2013 | 5557 | |
2016 | 1283 | |
2016 | 1270 | |
2017 | 1143 | |
2015 | 669 | |
2012 | 569 | |
2015 | 205 | |
2017 | 181 | |
2020 | 162 | |
2017 | 147 | |
2020 | 90 | |
2018 | 76 | |
2018 | 53 | |
2014 | 36 | |
2016 | 29 | |
2019 | 28 | |
2016 | 26 | |
2017 | 17 | |
2018 | 16 | |
2022 | 13 | |
2000 | 12 | |
2019 | 12 | |
2019 | 10 | |
2019 | 9 | |
2019 | 8 | |
2021 | 6 | |
2017 | 6 | |
2012 | 6 | |
2019 | 5 | |
2021 | 5 | |
2020 | 5 | |
2015 | 4 | |
2018 | 4 | |
2020 | 4 | |
2019 | 3 | |
2017 | 3 | |
2019 | 3 | |
2021 | 2 | |
2021 | 2 | |
2019 | 2 | |
2024 | 1 | |
2021 | 1 | |
2019 | 1 | |
2019 | 1 | |
2021 | 1 | |
2021 | 1 |