Computer Vision • Image Feature Extractors • 57 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 | 16435 | |
2013 | 5006 | |
2016 | 1052 | |
2016 | 1040 | |
2017 | 931 | |
2015 | 563 | |
2012 | 541 | |
2015 | 185 | |
2020 | 124 | |
2017 | 117 | |
2018 | 68 | |
2020 | 67 | |
2018 | 50 | |
2014 | 31 | |
2016 | 28 | |
2016 | 23 | |
2019 | 19 | |
2017 | 15 | |
2018 | 14 | |
2000 | 12 | |
2019 | 9 | |
2019 | 9 | |
2019 | 8 | |
2019 | 7 | |
2022 | 7 | |
2019 | 4 | |
2017 | 4 | |
2021 | 4 | |
2017 | 3 | |
2018 | 3 | |
2015 | 3 | |
2020 | 3 | |
2019 | 2 | |
2021 | 2 | |
2019 | 2 | |
2020 | 2 | |
2019 | 1 | |
2019 | 1 | |
2021 | 1 | |
2021 | 1 | |
2021 | 1 |