Computer Vision • Image Feature Extractors • 59 methods
Convolutions are a type of operation that can be used to learn representations from images. They involve a learnable kernel sliding over the image and performing element-wise multiplication with the input. The specification allows for parameter sharing and translation invariance. Below you can find a continuously updating list of convolutions.
Method | Year | Papers |
---|---|---|
1980 | 18768 | |
2013 | 5481 | |
2016 | 1257 | |
2016 | 1243 | |
2017 | 1118 | |
2015 | 654 | |
2012 | 566 | |
2015 | 204 | |
2020 | 157 | |
2017 | 144 | |
2020 | 84 | |
2018 | 75 | |
2018 | 53 | |
2014 | 36 | |
2016 | 28 | |
2019 | 27 | |
2016 | 26 | |
2017 | 17 | |
2018 | 16 | |
2022 | 13 | |
2000 | 12 | |
2019 | 12 | |
2019 | 10 | |
2019 | 9 | |
2019 | 7 | |
2021 | 6 | |
2012 | 6 | |
2017 | 5 | |
2020 | 5 | |
2019 | 4 | |
2018 | 4 | |
2015 | 4 | |
2019 | 3 | |
2017 | 3 | |
2020 | 3 | |
2021 | 2 | |
2019 | 2 | |
2021 | 2 | |
2019 | 1 | |
2019 | 1 | |
2021 | 1 | |
2021 | 1 | |
2024 | 1 |